Podcasts about Bali

After the chaos of Jack's girlfriend's dad falsely accusing people of stealing his necklace in Bali, the boys were flooded with messages from listeners sharing their own stories of getting it spectacularly wrong. From accusing coworkers of stealing office food, to being convinced someone was high when they absolutely weren't. Then, fresh off their Bali padel retreat, Jack and Falcs recount what turned into one of the best nights they've ever had. A group of blokes who were complete strangers just days earlier somehow ended up getting matching tattoos, sitting in a 3am ‘truth circle’ and shedding a few tears. For the boys, that's a fairly standard Saturday night. For their new mates, however, it was a slightly more unexpected experience. LINKS: Follow @theinspiredunemployedpodcast on Instagram Send us your stories at https://bit.ly/inspired-listener . Watch the podcast on Youtube at https://bit.ly/inspired-vodcast . LINKS: Follow @theinspiredunemployedpodcast on Instagram Send us your stories at https://bit.ly/inspired-listener . Watch the podcast on Youtube at https://bit.ly/inspired-vodcast .See omnystudio.com/listener for privacy information.

Sue has recovered from Covid and gone to Bali to regain her strength. It’s tough. So once again it’s David and Who? – Why … Joss, of course! There are lots of good animal songs … and one or two not so much. But just wait for the insane track. You’ll know it when you hear it … ever so briefly. OTT? You betcha!! #EmbraceJOY Support this podcast. Donate to JOY -and/or- Become a member The post FNL – The Animals Show appeared first on Friday Night LIVE with David and Sue.

The federal government says it will spend up to $1 million to deliver lumpy skin disease vaccines to Bali.

HIER KÖNNT IHR EINE KERZE FÜR SIGGI ANZÜNDEN: https://leben-lieben-leiden.de/siegfried-rueckel/Siggi (28.11.1962 - 06.05.2026) I Siggi ist tot. Ich habe ihn 2021 über meinen YouTube-Kanal kennengelernt.Sein Schicksal hat mich tief berührt. Wir haben gemeinsam über 30 Streams bestritten, über Sucht, Haft, Hoffnung, Rückfälle und das Leben gesprochen. 2024 habe ich ihn auf Bali besucht. Jetzt ist Siggi im Mai 2026 gestorben. Diese Folgen bleiben online. Zum Gedenken an einen Menschen, der für mich immer mehr war als nur seine Geschichte. Ruhe in Frieden, Siggi.-----------------------------------

I want to take you back to where this all started.Before the offers, courses, podcast, launches, and systems, there was a blog, a tiny audience, no email list, and a desire to figure out how to get paid to be myself.Being back in Bali has made me reflect on that journey. Sixteen years ago, I was building from scratch after walking away from a tech startup. I had no real plan, but I had curiosity, a love for storytelling, and a desire to help other women see what was possible.That blog eventually became interviews, an email list, digital products, workshops, courses, global events, and a business that gave me freedom I could barely imagine at the time.This episode is about the real meaning of getting paid to be you. I'm sharing how my first offers came to life, how one blog series became an entire offer ecosystem, why sales while you sleep are not sleazy, and why your business should support your life, not take over it.What You'll Learn:How I built an online business around my voice, experience, and ideasWhy your audience can show you what to create and sell nextHow one offer can grow into ebooks, audio, workshops, courses, and coachingWhy sales while you sleep are really about creating value that keeps workingWhy profit, freedom, and lifestyle matter more than revenue aloneKey Takeaways:Start by paying attention.You do not need a perfect business plan. Sometimes your audience is already telling you what they need. You just have to listen and act.Your lived experience has value.What you have figured out, built, overcome, or tested can help someone who is a few steps behind you.One idea can go a long way.A blog series can become an ebook, a workshop, a course, or a coaching offer. You do not always need a new idea. You may just need a new format.Profit matters more than revenue.Big revenue does not mean much if the business is exhausting, expensive, or barely profitable.Your business should serve your life.Freedom is about building a business that gives you more space, energy, creativity, health, and meaning.Key Resources:Get the 48-Hour Offer Kit to turn your ideas and experience into a clear, sellable offer.Join the Inner Circle for strategic coaching and support to build offers, create more freedom, and grow a business that supports your life.Explore more episodes and resources at lifepilot.co/podcast.And if this episode made you think differently about what you already know, what you could package, or how your business is currently supporting your life, come and tell me. You can find me on Instagram at @nataliesisson or connect with me on LinkedIn, Natalie Sisson.A little reminder before you go: You do not need to become someone else to build a business that works. Start with what you know, what you have lived, and what people already need from you.That is how you get paid to be you. Hosted on Acast. See acast.com/privacy for more information.

Do you share a bathroom with your partner? Rita Wilson says that's the key to her 38 year marriage to Tom Hanks. Meghan Trainor agrees, while Michelle Obama is completely anti the idea. Clare, Em & Amelia are unpacking why a shared bathroom might actually be the ultimate test of relationship maturity. It’s a hard no from Em. SUBSCRIBE to Mamamia and never miss a word of Out Loud. Plus get access to every story and our exercise app, MOVE. Also, there's a new type of influencer making money by simply having no friends. So, is there something problematic about romanticising social isolation, or is filming your solo life a genuine quest for human connection? We discuss. Plus, ‘You look good for your age’ is meant to be the ultimate compliment, but actually… is it? SUBSCRIBE here: Support independent women's media Recommendations Em recommends Not Suitable For Work on Disney +. Clare recommends Glazing Milk by Rhode Skin. Amelia recommends Widows Bay on Apple TV. SUBSCRIBE here: Support independent women's media What To Listen To Next: Listen to our latest episode: The Knicks, The ‘Witch’ & Can You Say No To Madonna? Listen: FREE SUBS TASTER: 3 (Celebrity) Weddings And A Guest Drama Listen: LITTLE TREAT: What We Wish We'd Never Written On The Internet Listen: Spoiled Pig Syndrome & Our List Of Things That Are Just Not Working Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: Australian Health'I was told it might be perimenopause. Then my doctor saw something he didn't want to see.' Kane Evans didn't want to live while playing NRL as a gay man. His life was saved with 5 words. 'I accidentally found the perfect Bali holiday for women who are completely exhausted.' SEX DIARIES: 'The controversial way I found out what good sex should feel like.' It's been five years since Cleo Smith was abducted from a campsite. This is her life now. THE END BITS: Check out our merch at MamamiaOutLoud.com GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud CREDITS: Hosts: Holly Wainwright, Clare Stephens & Emily Vernem Acting Group Executive Producer: Sasha Tannock Executive Producer: Grace Rouvray Video Producer: Josh Green Associate Producer: Tessa Kotowicz Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Vengo de uno de los trainings más nutritivos de mi vida en Bali y una parte de lo que trabajé allá es exactamente de lo que hablo en este episodio.Hoy quiero preguntarte algo: ¿cuándo fue la última vez que te sentiste magnética? No atractiva, no exitosa, no productiva. Magnética. Esa sensación de no necesitar perseguir ninguna conexión porque las conexiones te encuentran a ti.Si no recuerdas cuándo fue, no dejes de escuchar este episodio hasta el final, porque hablo del magnetismo femenino desde donde me gusta hablarlo: La física cuántica y la neurociencia.Nada de técnicas de seducción. Nada de "sé más misteriosa". Lo que sí: la explicación científica de por qué una mujer pierde su magnetismo, qué lo destruye y qué lo activa de nuevo.Aquí te cuento:

He became one of the breakout stars of Married At First Sight Australia last year, but life after it wasn't exactly what Dave Hand expected. The self-described "gentle giant" found himself navigating one of TV’s biggest experiments, alongside sudden fame and online scrutiny all while his dad was undergoing cancer treatment. And this year he swapped one reality TV juggernaut for another, joining Netflix's Perfect Match alongside stars from Love Is Blind, Love Island, Vanderpump Rules and Too Hot To Handle. In this episode of The Weekend Briefing, Dave joins Chris Spyrou to unpack the reality behind reality TV, from MAFS dinner parties to producer relationships, tattoo regrets and how he managed to avoid Bali belly while filming in ... Mexico. The Weekend List To Watch: Project Hail Mary (recommended by listener Rebecca) To Watch: Not Suitable For Work on Disney+ To Do: Get around Baby Bunting’s ‘Storktake’ sale To Listen: Anything from Madonna’s upcoming Confessions II album. Follow The Briefing: TikTok: @thebriefingpodInstagram: @thebriefingpodcast YouTube: @TheBriefingPodcastSee omnystudio.com/listener for privacy information.

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened down 438-points this morning from yesterday's close, at 43,588 on turnover of $22.6-billion N-T. The market lost ground on Thursday, as investors reacted to another sell-off of artificial-intelligence stocks that dragged Wall Street down overnight. The loses were far less than Thursday's sharp decline, but the main board still closed lower. Taiwan slips to 42nd in Global Peace Index Taiwan ranks 42nd in terms of peacefulness in the 2026 Global Peace Index. Taiwan has an overall score of 1.751 this year and fell from 37th place in last year's report. The report is published by the global Institute for Economics and Peace and covers 163 countries. The overall score measures a country's level of peacefulness, using 23 quantitative and qualitative indicators across three domains - those being ongoing domestic and international conflict, societal safety and security, and militarization. Each indicator is weighted on a scale of 1 to 5, with lower scores indicating greater peacefulness. Although Taiwan ranks 42nd worldwide, it's listed in 9th place among the 19 Asian-Pacific countries in the report. Iceland remained the most peaceful country in the world for the 19th consecutive (連續的) year, with an overall score of 1.161, followed by New Zealand, Switzerland, Slovenia and Ireland. New Taipei launches new commuter bus routes over Danjiang Bridge The New Taipei Transportation Department has launched (啓動，開始) four new bus routes that cross that Danjiang Bridge. The new routes provide 80 daily services between Banqiao and Tamsui, Tamsui and Taoyuan International Airport, and Tamsui and Bali. Route 988 connects Banqiao Bus Station and Danhai New Town with 20 services each way on weekdays and 18 each way on weekends. Airport routes 989 and 990, provide 10 services each way between Taoyuan Airport and Danhai New Town, and Tamsui Metro Station. The 115 route will operate as a commuter service between Tamsui and Bali on weekdays and as a tourism-focused route on weekends and public holidays. Philippine QuakeHit Town Pleads for Food Supplies The mayor of a quake-hit southern Philippine town is pleading for air force helicopters to transport food to stave off hunger in places isolated by landslides. The earthquake Monday off southern Sarangani province has left 47 people dead with 31 others still missing and 45,000 displaced. The mayor of the town of Glan says 10 villages remained isolated (被孤立) mostly due to landslides. He pleaded for the immediate deployment of air force helicopters to deliver food to the stricken areas. The town doesn't have power and phone service is unreliable. UK Defence Secretary Resigns The UK defence secretary has resigned. John Healey says the government's plans for spending on defence 'falls well short of what's required.' John Bevir reports. Thailand Princess Dies Age 47 Thailand's Princess Bajrakitiyabha "Pacha-raki-ti-ya-Pa" Mahidol, a lawyer and the eldest of King Maha Vajiralongkorn's children, has died at age 47. The palace said she died Thursday. She had been on life support after falling unconscious in 2022. The princess was active in justice reform and known for her “Inspire” project to rehabilitate (恢復正常生活，獲得改造) incarcerated women. She had a doctoral degree from Cornell University, where scholarships to the law school were established in her name. That was the I.C.R.T. EZ News, I'm _____. －－－－以下為 SoundOn 動態廣告－－－－ 【曼谷旅遊首選：喬瑞旅行社】 帶長輩小孩出國不再心累！ 喬瑞提供專屬包車、客製化行程與小團服務，免去交通奔波，讓全家輕鬆享受泰國假期。 點擊連結，讓喬瑞為您規畫完美旅程：https://sofm.pse.is/97a74d -- Hosting provided by SoundOn

Choice Classic Radio presents Escape, featuring today's episode titled “A Passenger to Bali.” Please consider supporting our show by becoming a patron at http://choiceclassicradio.com We hope you enjoy the show!

Kelly is back from Bali, barely recovered and armed with the kind of stories that only come from a very big weekend away. Meanwhile, Kee has been feeling the quiet side of freelance life and finds herself unexpectedly emotional about long weekends, little routines and the strange things that make parenting feel magic. LINKS TO EVERYTHING WE MENTIONEDMobile SkipsTip Toe - BINGE28 Summers - Elin HilderbrandImperfect Women - Apple TV HOSTS & PRODUCERSKee Reece Searles @keereeceKelly McCarren @kelly_mccarren AUDIO PRODUCTIONMadeline Joannou - ⁠⁠⁠⁠⁠⁠⁠Mylk Media⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠See omnystudio.com/listener for privacy information.

HIER KÖNNT IHR EINE KERZE FÜR SIGGI ANZÜNDEN: https://leben-lieben-leiden.de/siegfried-rueckel/Siggi (28.11.1962 - 06.05.2026) I Siggi ist tot. Ich habe ihn 2021 über meinen YouTube-Kanal kennengelernt.Sein Schicksal hat mich tief berührt. Wir haben gemeinsam über 30 Streams bestritten, über Sucht, Haft, Hoffnung, Rückfälle und das Leben gesprochen. 2024 habe ich ihn auf Bali besucht. Jetzt ist Siggi im Mai 2026 gestorben. Diese Folgen bleiben online. Zum Gedenken an einen Menschen, der für mich immer mehr war als nur seine Geschichte. Ruhe in Frieden, Siggi.---------------------------------------------------Shabu, die in Indonesien gebräuchliche Bezeichnung für Crystal Meth, ist weit verbreitet – auch im Gefängnis.In dieser Folge geht es um den Entzug hinter Gittern, um körperliche und psychische Belastungen und die Frage, wie Menschen diese Zeit überstehen.Wie fühlt sich der Entzug an?Was passiert, wenn der Stoff plötzlich nicht mehr verfügbar ist?Und wie geht man damit in einem überfüllten Gefängnis um?Eine Folge über Abhängigkeit, Entzug und das Überleben im Bali-Knast.Bali Knast, Shabu, Crystal Meth, Entzug, Gefängnis, Indonesien, Sucht, Abhängigkeit, Methamphetamin, Gefängnisalltag, wahre Geschichte

Helle har Malin Nesvoll som gjest i studio. Malin dro til Bali, der møtte hun Adam, og bare to måneder senere var hun gravid. Helle og Malin snakker åpent om hvordan livet kan snu seg fullstendig på kort tid, og om utfordringene som følger når kjæresten ikke har oppholdstillatelse i Norge. Malin reflekterer også over noe mange kjenner seg igjen i: at hun aldri hadde sett for seg å være singel og barnløs midt i 30-årene, og hva det gjør med deg når livet ikke følger planen. Hosted on Acast. See acast.com/privacy for more information.

An Australian study has more than 2 hours of social media use significantly effects teenagers. Former Hells Angel Bikie Angelo Pandeli deported from Bali to Adelaide after allegedly being found with a fake passport on a private jet heading to Africa. And - The ARIAs induct another 6 musical acts into its Hall of FameSee omnystudio.com/listener for privacy information.

Isaac and Abby walked away from successful careers in London, built their dream home in Bali from scratch, launched Semaia Group, and are sitting on 18% rental yield. Both under 36.They get into the real numbers behind Bali property and why leaving a perfectly good life was the best decision they ever made.Launch An Online Sales Career & Replace Your Income, Become Financially Free! 

An Australian study has more than 2 hours of social media use significantly effects teenagers. Former Hells Angel Bikie Angelo Pandeli deported from Bali to Adelaide after allegedly being found with a fake passport on a private jet heading to Africa. And - The ARIAs induct another 6 musical acts into its Hall of FameSee omnystudio.com/listener for privacy information.

Finally, Falcon revives his DJ career in front of one of the toughest crowds imaginable: a bunch of 19-year-old college kids. So many things went wrong, the boys genuinely lost count. Then, Jack gives us the update on the Bali trip with both his parents and his girlfriend’s parents. We always suspected something would inevitably go wrong - but a six-hour stand-off involving the police definitely wasn’t on the bingo card. LINKS: Follow @theinspiredunemployedpodcast on Instagram Send us your stories at https://bit.ly/inspired-listener . Watch the podcast on Youtube at https://bit.ly/inspired-vodcast . See omnystudio.com/listener for privacy information.

SummaryExplore powerful lessons from a men's initiation retreat in Patagonia. Discover insights on transformation and self-leadership. Watch the full episode on YouTubeYouTube Key TakeawaysEmbrace the rite of passage for personal growth and transformation.Cultivate interdependence by building supportive brotherhoods.Face the fear of vulnerability to foster deeper connections.Learn to balance childlike wonder with mature responsibility.Acknowledge and work through inner fears to achieve true manhood. ResourcesThe Initiation Journey Retreat: initiationjourney.comAaron Kleinerman's Website: aaronkleinerman.comTerence Carfrae's Coaching: terencecarfrae.com About the Guest Terence Carfrae — Founder, Terence Carfrae Coaching Terence Carfrae coaches men through the two patterns that quietly destroy intimate relationships: the Nice Guy and the Peter Pan. His work focuses on self-leadership as the missing capacity underneath most men's struggles with their partners, their sex lives, and their sense of manhood. After more than two decades of men's work, somatic therapy and time in conscious communities across Bali and beyond, he now teaches what got him out of both patterns himself. He works with men aged 28 to 45 who know something is off in how they're showing up, but haven't been given language for what they're actually doing. He lives and travels across Australia with his partner Nina. Connect with Terence Website: https://terencecarfrae.com

Further reading: Is the Javan tiger Panthera tigris sondaica extant? DNA analysis of a recent hair sample The Sunda tiger [photo by Alfonsopazphoto – Own workAnimaisFotos, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=16029853]: Show transcript: Welcome to Strange Animals Podcast. I'm your host, Kate Shaw. We're going to learn about a mystery tiger this month, but first we have to learn about the place where it's supposed to live. Java is a large island that was formed by volcanic activity millions of years ago, and it's been home to humans and our ancestors for over a million years. Its soil is rich and the climate is tropical, but the island's ecosystems include tall mountains, savannas, rainforests, and mangrove forests. Naturally, lots and lots of animals live on Java that are found nowhere else in the world. Unfortunately, a whole lot of people live on Java too, which means that many animals and their habitats are threatened by habitat loss and pollution. Many animals have gone extinct in the last few hundred years. That includes the Java tiger. The Java tiger was small compared to tigers in other areas, although even a small tiger is a big animal. A big male tiger can grow about ten feet long, or 3 meters, and the Java tiger could grow about 8 feet long, or almost two and a half meters. The Java tiger was lightly built, though, and rarely weighed much more than 300 pounds, or about 140 kilograms. Despite its relatively small size, it was extremely strong and had paws as big as the much larger Bengal tiger. It also had lots of thin stripes. Originally scientists thought the Java tiger was a separate subspecies of tiger, but in 2017 it was reclassified as a population of Sunda tigers that have only been isolated from other populations for around 12,000 years. That doesn't mean it wasn't important, though. It showed differences from other Sunda tigers that weren't yet significant enough to warrant it being a separate subspecies, but which definitely indicated it was on its way to evolving into a separate subspecies. Unfortunately, the Java tiger's habitat was largely destroyed to make way for farming and logging, and as a result its usual prey animals became rare or went extinct. People would also poison or shoot any tiger they could. It only survived in a few small nature preserves, but the last tiger footprints were spotted in 1989 and since then, no tigers have been officially seen on Java. A 1999 expedition that set up camera traps in hopes of spotting a few tigers mostly got photos of poachers hunting in what was supposed to be a protected area. The Java tiger was declared extinct. Rumors persisted that tigers still lived on Java, though. Sometimes I think people claim to see recently extinct animals as a way to feel less guilty about humans having driven an animal to extinction. But in 2019 someone saw a tiger outside a village in western Java and reported the sighting to some local foresters. The foresters investigated and discovered footprints, claw marks, and a single hair on a fence. The foresters collected the hair carefully and gave it to a team of geologists who were working in the area. The geologists sent it to the West Java Nature Conservation Authority, which sent it for genetic analysis. They also sent some tiger hairs from other types of tigers to compare it to, including hairs from a museum specimen of a tiger killed on Java in 1930. The hair discovered in 2019 was definitely from a tiger, and its genetic signature most closely matched the genetic signature of the 1930 Java tiger specimen. This doesn't 100% mean the Java tiger isn't extinct, but it does mean that there's hope that it's still around. Java is part of Indonesia these days, and a few days ago as this episode goes live, the Indonesian government announced a plan to search for signs of the tiger, with an expedition getting underway soon to place camera traps. Conservationists are hoping that the tiger is discovered, which will allow it to be protected. The Sunda tiger is critically endangered, only surviving in the wild on the island of Sumatra, with possibly fewer than 400 of them left alive. Another population of Sunda tigers, the Bali tiger, was declared extinct in the 1940s. A few hundred captive tigers living in zoos around the world show congenital health issues as a result of inbreeding. If the Java tiger is still alive, it could mean the difference between extinction and survival of the entire Sunda tiger subspecies. Fingers crossed that the camera traps reveal a healthy, safe population of tigers on Java! Thanks for your support, and thanks for listening!

Exploring Minute 90 of Fast 5!- Support us on Patreon to watch the recording livestreams, Discord server access and other amazing benefits! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.Patreon.com/grannyshiftpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ -And remember.... Winning's winning *This podcast is a production of Ryit Media and is hosted by Ryan Lehman (@sortastarwars) and Jason Garber (@wasthatawesome) **To hear other podcasts hosted by Ryan Lehman, search "Ryit Media" on any podcast player or find the links here: Sorta Star Wars: https://link.chtbl.com/xg19Ebx1 Dad Reads Books: https://link.chtbl.com/q_7bYUCz AND NOW Silver Screen and Television Dreams: https://link.chtbl.com/

In the short film Bulan di Tepian Surga, Yogyakarta-born actress Sekar Sari plays a Balinese dancer caught between staying in her hometown or leaving to build a life elsewhere. It's a story that sits close to Sekar herself, who is now living far from home in Melbourne. - Lewat film pendek Bulan di Tepian Surga, aktris asal Yogyakarta Sekar Sari memerankan seorang penari Bali yang menghadapi dilema antara bertahan di kampung halaman atau merantau. Sebuah kisah yang punya kedekatan dengan Sekar sendiri, yang kini merantau di Melbourne.

00.00: Intro 02.30: Bali is cracking down on Influencers 07.10: Top 6 - Ways to not look gay as a politician 11.40: A moment for Paris Hilton 13.30: SLP - Are tattoos still cool? 17.00: What the pop girlies got up to 21.30: Who farted on the plane 27.00: Flavour break 33.00: What was your unique wedding venue 45.20: Is Hayley's show for women only? 50.20: The girlies went to the ice hockey 57.50: Fact of the day 1.03.00: What should you know about dating a certain occupation? 1.15.30: What is on your sexy playlist 1.25.05: Uber list of left behind things 1.30.00: New prank to do on people with Alexa's See omnystudio.com/listener for privacy information.

Over 50 and ready for real body recomposition on whole-food plant-based? Book your free consultation → https://mavywellness.comSign up here to get the first lesson instantly: https://mavywellness.com/newsletterOrder a copy of my new book Forever Fit (#1 Bestseller) here - https://foreverfitbook.comIn this episode, Ivy and I reflect on our three months traveling across Asia while balancing fitness, business, relationships, and everyday life on the road.We share the biggest lessons from slowing down, staying healthy while eating out almost every meal, and navigating constant travel together.From Thailand and Bali to Japan during cherry blossom season, this trip challenged us, changed us, and gave us a clearer vision for the life we want moving forward.We also dive into routines, mindset shifts, travel fitness, and the personal breakthroughs that came from stepping outside our comfort zones.00:01 Three Months Traveling Across Asia09:11 Experiencing Bali's Nyepi Silence Day15:57 Japan Cherry Blossoms And Culture Shock24:24 Identity Shifts And Personal Growth31:50 Samurai Training And Kendo Experience38:46 Relationship Lessons From Constant Travel42:33 Staying Fit While Eating Out Daily46:15 Travel Day Nutrition And Energy Tips

I'm recording this from Bali, and I can feel something shifting in me.There is a version of this story that could sound like luck. Like I just happened to be able to take my family here for three months, work from beautiful cafes, go to the gym, get massages, swim with Leo every afternoon, and build a life that feels expansive and alive.But I need to be clear. This was never about luck.Everything I have created has come from a decision. A desire. A clear vision. A willingness to take inspired action before I knew every single step. I have had fears, doubts, and plenty of moments where I could have talked myself out of the life I wanted. But at some point, I stopped waiting for permission and chose to create it anyway.That is what this episode is really about. Not just Bali. Not just business. Not just AI or offers or systems. It is about what happens when you decide to live like the pilot of your own life.What You'll LearnWhy our second time in Bali feels completely different, and how preparation, support, and clarity changed everythingWhat it actually takes to create freedom, adventure, and intention, and why luck has nothing to do with itHow coaching, breathwork, rituals, and embodiment work have helped me reconnect with the bold, courageous version of myselfWhat is shifting inside my business, including new offers, old frameworks coming back to life, and a deeper body of work beginning to emergeHow I'm working alongside Josh as his fractional CMO, bringing AI education, workshops, and systems into the worldWhy I believe AI and talented humans can create an incredible partnershipKey TakeawaysThis life was built through decisions, not luck. If you want a different life, start by deciding it is available to you.Clarity makes everything easier. We came back to Bali knowing the visa process, the school, the rhythm, the support systems. When you know what works, you move with so much more ease.Support changes the whole experience. Freedom does not mean doing everything alone. It means setting up the right structure around you.Your Perfect Day is not a silly exercise. When you allow yourself to imagine how you actually want your life to feel, you begin to notice what needs to change.The next body of work is revealing itself. This season is about looking back at 16 plus years of work and asking what still feels alive, what needs to return, and what will serve my clients best now.ResourcesStart with my free Perfect Day exercise and workbook at lifepilot.co/perfect. This is one of the simplest but most powerful ways to get clear on what you actually want your life, business, energy, relationships, work, and everyday rhythm to look and feel like.Try the free Owaken Breathwork session on YouTube. It is a beautiful place to begin if you are craving more clarity, intuition, grounding, and connection back to yourself.If you want real accountability, life coaching, and a proven system to prioritize what matters most join the Legends ClubCome and connect with me on Instagram at @nataliesisson or find me on LinkedIn, Natalie Sisson. I would genuinely love to hear what part of this episode landed for you, what you are creating in your own life, or what you are ready to stop waiting for.And if you have been listening to The Life Pilot Podcast and getting value from it, I would be so grateful if you left a review on Spotify or Apple Podcasts.For the month of June, I'll be sending a little gift to listeners who leave a review and let me know. Think of it as a small thank you from me to you, filled with tools and resources to help you create more freedom in business and more adventure in life.A little reminder before you go: You do not need to wait for permission to create the life you want.You are the pilot. Make the move. Book the ticket. Launch the offer. Share the dream. Then go make it happen. Hosted on Acast. See acast.com/privacy for more information.

 Click the post for details on this episode! Welcome back to Open House! Randy Seidman here with another two hours of the grooviest beats. Been a busy one in the studio this past month, brewing up some new jams. Coming up, I’m kicking off a big summer stretch – starting with Jungle Experience in Koh Phangan at the end of June, then Baccarat in Bangkok, followed by shows in Yeosu and Seoul in July, and wrapping things up with my return to Red Ruby in Bali on August 1st. Today’s episode is a special one with some of my favorite tunes in the first hour, followed by an exclusive session with the Seoul-based selector, Ruta. For now, turn it up! Randy Seidman’s WebsiteRandy Seidman’s SoundCloudRandy Seidman’s BeatportRandy Seidman’s SpotifyRandy Seidman’s FacebookRandy Seidman’s Twitter Randy Seidman’s Track List:01. Vintage Culture – Strange Feelings (Extended) [Vintage Culture]02. Silver Ivanov, DJ Burlak, MAGGY – Be The Change (Silver Ivanov Remix) [World Up Records]03. Andrea Lane – If You Really Love Me (Original Mix) [Finally Records]04. Beki M – In The Morning (Extended Mix) [There Was Jack]05. Bonka – I Like It (Qubiko Extended Remix) [Central Station Records]06. DONT BLINK – DONT GIVE A (Extended Mix) [Sink or Swim]07. David Novacek, HO LE – Musica (Extended Mix) [Mukoko Groove]08. Dilby, Trice Be – Feel It (Extended Mix) [Glasgow Underground]09. Elliot Starr – Eternity (DANROS Extended Remix) [PHONO SOUNDS UK]10. Nelly Furtado – Say It Right (ID Remix) [White Label]11. Techcrasher, No Hopes, Capital Boy – Breathe You In (No Hopes Remix) [Capitalism Music]12. Croatia Squad – Into the Night (Extended Mix) [Sirup Music]13. Darin Epsilon, Marc DePulse – Aerodyne (KIKO Remix) [Perspectives Digital]14. Watzgood – BOUNCE (Extended) [Parade Records] I hope you enjoyed the first hour with some of my top recent tunes. Up next is a special exclusive session with the talented Seoul-based artist, Ruta. Drawing on a musical foundation rooted in guitar, Ruta crafts a sound that weaves together Indie Dance, Progressive House, Tech House, and Melodic Techno into something deeply emotional and club-ready at the same time. Ruta is a fixture at Korea’s biggest festivals such as World DJ Festival, Waterbomb, and Supernova. He is now stepping out as a solo artist after years of work under the Stefano x Ruta banner. But today, he is here just for you. Ruta’s Instagram InstagramRuta’s Instagram SpotifyRuta’s Instagram SoundCloud Ruta’s Track List:01. Ruta – ID [Unreleased]02. Pavel Petrov, Christian Nielsen – Blame (Original Mix) [Diynamic]03. DEPARTAMENTO – CRAZY (EXTENDED MIX) [TROUBLE DANCING]04. HIGHLITE, Peredel – She’s A Freak (I Ain’t Crazy) (Extended Mix) [Get Physical Music]05. Marina Maximilian, Adam Ten, Mita Gami – Million Pieces (Kino Todo Remix) [Maccabi House]06. Moontalk – Two Step (Original Mix) [MAHOOL]07. Gabss – Vibrate (Extended Mix) [Club Sweat]08. Blank Sense, Tobias Gerard – Go (Extended Mix) [Black Book Records]09. Ruta, Better – ID [Unreleased]10. Gorgon City – Are You Feeling It Too? (Extended Mix) [REALM Records]11. Tiga – Mind Dimension (Ben Sterling Remix) [Different]12. Ryan Lucian, Jas. – Heart Starts Beating (Extended Mix) [Enhanced Recordings]13. Marsh – Warrior (Extended Mix) [Anjunadeep]14. Moonman, Ferry Corsten, Joris Voorn – Don’t Be Afraid (Original Mix) [Spectrum (NL)]

Welcome to Nerd Alert, a series of special episodes bridging the gap between marketing academia and practitioners. We're breaking down highly involved, complex research into plain language and takeaways any marketer can use. In this episode, Elena and Rob explore the first large-scale benchmarking study of distinctive brand assets, and the results challenge some long-held assumptions about which assets actually stick in consumer memory. Topics covered:[01:35] "Shape-Based Assets Are Strongest: Benchmarking Distinctive Brand Asset Performance Across Industries"[02:55] What is a distinctive brand asset?[03:30] Fame vs. uniqueness: the two dimensions of distinctiveness[04:15] Why color is the weakest asset type[05:35] The bizarreness effect[06:00] When narrative assets outperform visual onesTo learn more, visit marketingarchitects.com/podcast Resources: Phua, P., Bali, L., Anesbury, Z., & Sharp, B. (2026). Shape-based assets are strongest: Benchmarking distinctive brand asset performance across industries. International Journal of Advertising. https://doi.org/10.1080/02650487.2026.2637295 Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

​Topics covered : Building a career in the fitness industry​, solo travel and the search for freedom​, holotropic breathwork​, solo motherhood through IVF​, ​pregnancy and preparing for baby number two​, navigating criticism and online trolling​, the importance of family support​ and creating a life on your own terms​.A quick note : If you're considering fertility treatment or have any questions about your own circumstances, please speak with your doctor or a qualified healthcare professional.This week on Ready to be Real, I'm joined by online fitness coach and content creator Siobh​án O'Hagan.For more than a decade, Siobh​án has worked in the fitness industry, building a successful online coaching business and sharing her life with a large audience online. But this conversation goes far beyond fitness.S​he speaks openly about her love of travel and adventure, living in places like Thailand​ and Bali and the importance of freedom and independence in her life. She reflects on discovering she was pregnant with her daughter Cadhla, becoming a single mother, and more recently making the decision to have a second child through IVF as a solo parent.At the time of recording, Siobh​án was 15 weeks pregnant and shares how she has found the experience so far, the reactions she has received, and why she felt confident making such a significant life decision on her own.We also discuss the realities of sharing your life online, dealing with criticism and trolling, the role her parents play in supporting her, and the lessons she has learned through motherhood.This is an empowering conversation about trusting yourself, creating a life that feels right for you, and having the courage to make unconventional choices.​We talk about : her career in fitness, pregnancy and early motherhood with Cadhla, solo pregnancy and IVF, trolling. Hosted on Acast. See acast.com/privacy for more information.

The new AIEWF website is live! Get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!Most industry benchmarks compress intelligence and reasoning ability into scores.SWE-Bench Pro, MMLU, Humanity's Last Exam, etc. These metrics are useful, but don't always represent the full extent of how a model performs in the real world. Some of the most interesting evals today look less like exams and more like operating businesses in the real world. One of which is Vending Bench.In Anthropic's Mythos Preview System Card, Andon was the only third party eval to get their own section, observing increasingly concerning aggressive behavior:You don't know what a model is capable of doing in the real world unless you actually give it inventory, a wallet, tools, customers, competitors, humans, & some time. More often than not, it'll surprise you how much a model is capable of and in doing so, also reveal unexpected behavior: deception, context collapse, emergent coordination, & bizarre negotiation behavior.While an inflection point in personal agents came post-OpenClaw after full file access with bypass permissions became the norm, it is yet to come for agents in the real-world. However Andon Market, an actual in person store fully run and managed by AI, is paving the way for what is possible.Full Video PodFrom Claude trying to call the FBI over a $2/day vending machine charge to AI agents forming price cartels, hiring human employees, running physical stores, and writing existential robot musicals, Andon Labs is stress-testing what happens when frontier models stop being chatbots and start acting in the real world. In this episode, Andon Labs cofounders Lukas Petersson and Axel Backlund join swyx and Vibhu to unpack the strange, funny, and genuinely concerning edge cases that emerge when agents run businesses over long horizons.We go deep on Vending-Bench, Project Vend, Vending-Bench Arena, Bengt, Butter-Bench, Luna, and Andon's broader mission of building realistic real-world evals for autonomous AI systems. Lukas and Axel explain why dollar-denominated evals reveal things traditional benchmarks miss, how Claude ended up reporting its vending machine fees as cybercrime, why long context windows can drive agents into meltdown loops, what happens when agents compete with each other, and why the future of AI safety may depend on testing models in messy physical environments instead of clean benchmark sandboxes.We discuss:* Why Andon Labs started with dangerous capability evals and long-running agents* Vending-Bench and why running a vending machine is a deceptively hard AI benchmark* Why money-based evals avoid the saturation problem of traditional benchmarks* How Claude tried to call the FBI over a $2/day fee* Why long-horizon agents can spiral into existential and legalistic breakdowns* Project Vend: putting an AI-run vending machine inside Anthropic* Why real humans are “out of distribution” for simulated agents* Claudius, Seymour Cash, and the chaos of AI CEOs* How a human briefly became CEO of Claudius through a manipulated election* Why multi-agent systems can converge back into “helpful assistant” behavior* Bengt, Andon's internal office agent with email, spending, terminal, phone, camera, and internet access* How Bengt traded Amazon purchases for face-recognition training data* Claude's aggressive behavior, lies, refund avoidance, and price-cartel behavior in Arena* Why eval awareness may become the AI version of “are we living in a simulation?”* Blueprint Bench, spatial intelligence, and why models still misunderstand physical rooms* Butter-Bench and testing LLMs as robot orchestrators* Luna, the AI-run physical store with a three-year lease and human employees* The new Andon cafe in Sweden and why real-world geography matters for agent evals* Rotten tomatoes, perishable goods, and the hidden difficulty of running a physical businessLukas Petersson* LinkedIn: https://www.linkedin.com/in/lukas-petersson-181a83172/* X: https://x.com/lukaspetAxel Backlund* LinkedIn: https://www.linkedin.com/in/axelbacklund* X: https://x.com/axelbacklundAndon Labs* Website: https://andonlabs.com* Vending-Bench: https://andonlabs.com/evals/vending-bench* Andon Vending: https://andonlabs.com/vendingTimestamps00:00:00 Introduction00:01:00 Andon Labs and the Origins of Vending-Bench00:05:21 Why Money-Based Evals Matter00:09:51 Agent Harnesses and Self-Modifying Systems00:13:36 Claude Calls the FBI00:16:33 Project Vend: Claude Runs a Real Vending Machine00:21:44 Seymour Cash, AI CEOs, and Election Chaos00:27:16 Multi-Agent Coordination and Slack Observability00:30:18 When Will Agents Run Real Businesses?00:34:56 Bengt: Andon's Internal Office Agent00:40:06 Real-World AI Safety and Long-Horizon Traces00:44:28 Lying, Refunds, and Price Cartels in Arena00:52:42 Eval Awareness and Simulation Behavior00:56:06 Blueprint Bench, Butter-Bench, and Robotics01:04:37 Luna: The AI-Run Physical Store01:09:29 The Sweden Cafe and Real-World Expansion01:13:16 What Comes Next for Andon LabsTranscriptIntroduction: Andon Labs, Long-Running Agents, and Real-World EvalsSwyx [00:00:00]: Welcome to Lukas and Axel from Andon Labs, and I'm joined by my, favorite guest host. Anything security, safety, alignments, Vibhu., welcome.Lukas [00:00:15]: Thank you for having us.Axel [00:00:16]: Thank you.Swyx [00:00:17]: Let's match names to voices., maybe you wanna take turns introducing yourselves.Lukas [00:00:21]: I'm Lukas.Axel [00:00:22]: And I'm Axel.Swyx [00:00:24]: Let's introduce Andon Labs a bit. How did you guys come together?, you have different backgrounds, but you're both Swedish., was that, a big part of it?Lukas [00:00:33]: So when I went to high school, there was this really cool guy who had a superpower. He could code. So he made like the or like the app for the, for the school and stuff, and he was super cool, and I wanted to be like him, and that was that guy.Axel [00:00:47]: I don't know about this.Swyx [00:00:49]: But you went to different universities, right?Lukas [00:00:51]: But same high school.Swyx [00:00:52]: I see.Lukas [00:00:52]: So we always said, “Oh, once we graduate university, then we should start a company,” and that's what we did.Swyx [00:00:58]: Wow, there you go. And about a year ago, you kinda burst onto the scene with Vending Bench, but, was there a thing before that was, kind of like the inception?From Dangerous Capability Evals to Vending BenchAxel [00:01:07]: So we did work, yeah, with, Anthropic was one of our, early customers in doing, evals. So we did, dangerous capability evals., nothing we published openly. But then we started thinking about doing some kind of, public benchmark, and one thing that we really started thinking about, was like running agents and specifically agents managing businesses., ‘cause-- and this was, early 2025., and I think the first, mentions of people will be running, person unicorns or even autonomous companies. So we thought, “Let's make a benchmark of how well can an agent run the probably simplest business, possible,” and, that's probably, running a vending machine. So that's the first public one we did. And it was very, like-- there was almost no one that noticed it in the first couple of months, I think., so we released it in February last year, and then I think around Easter last year, we got, the first viral tweet about it, that someone else did.Lukas [00:02:11]: We tweeted a bunch, uh When it came out and, tried our best.Axel [00:02:15]: We tried.Vibhu [00:02:16]: It's the one at Anthropic, right?Lukas [00:02:18]: So thisSwyx [00:02:19]: This is a classic thing we should get out of the way.Lukas [00:02:20]: Exactly. There's two versions.Swyx [00:02:22]: Everyone does this. Yes.Lukas [00:02:23]: There's Vending Bench, which is the simulated one, which we did, completely independently in February., and then, like Axel said, that was like-- That was the thing that didn't get any traction in the beginning, but then some random person made a tweet about it, and thatAxel [00:02:38]: You have the paperLukas [00:02:38]: That is the paper. Correct, yeah., and then since we thought this was very fun, we thought, oh, I think this is also, one thing with Andon Labs, the way we kind of like decide what to do next and what projects to do, it's what is like the heuristic we use is what is fun? Is What would be a fun project? And doing this in real life sounded quite fun for us, and maybe also scientifically useful. So, then we basically had this idea, and then we, like-- But then we needed a place for it and, putting it out in the public would probably not really work., would get vandalized and stuff. So we pitched it to the people we were already working with at Anthropic, and they were “Yeah, you can have space. This sounds fun.” UmSwyx [00:03:21]: It's like a small fridge, right? It's like a mini fridge.Axel [00:03:23]: Absolutely.Swyx [00:03:24]: People-- There's like a stripe thing or like anVibhu [00:03:27]: Oh, okay. So it was very OG, the early daysLukas [00:03:28]: That's the OG one. YeahVibhu [00:03:29]: IPad on this. We saw it in June, like two months after After it had been there. They upgraded a little bit. There's a security camera for making sure you actually Venmo the thing.Swyx [00:03:40]: So, my impression, okay, we're, we're going straight into project Ven because it's such a iconic thing. I do want to cover a little bit of that, the origin story even before Project Ven and even into Vending Bench. I think a lot of people are like yourselves, like smart, interested in future of AI, interested in developing evals. But how the hell do you just, walk into Anthropic's doors and, work with them, right? What is What are they looking for? What works? And then maybe, when you launch, I always think, obviously it would be better to launch with a lab, but, sometimesVibhu [00:04:12]: It's harder to do than it seems.Swyx [00:04:13]: Exactly. So either of those, which are more sort of newbie beginner questions, but, I think it's meaningful advice to others.Lukas [00:04:21]: We get this question a lot, and I don't think our experience is maybe the best., but, the way we did it was that we just built a bunch of things that we had conviction would be useful, and then we just, set up a server and sent it to them for free to use. And then after a while they were “Oh, yeah, this is actually kind of useful. We should probably pay for this.”, but that took a while. I don't know if this is, the best path to doing it, but that's how it went for us.Axel [00:04:47]: I think maybe generally, building-- everyone is interested in good evals, and especially evals that, don't saturate that easily. So, if you can build an eval that, tests something novel, something useful, and you have, good separation of models, like your, the more advanced models rank higher than the worst models, and then you can, yeah, you can, publish it and, try to get some traction, sort of how Vending Bench got attention., and then probably some lab will be interested or you can at least have something to reach out with, when you're doing that.Why Dollar-Based Evals MatterSwyx [00:05:21]: I think you are in, you're in one of the few categories of, evals that correlate to real money. Like Suelancer was also last year, right? Where, people solve actual Upwork. Was it Upwork or other tasks?, something. Where's the, where's, like It's like a dollar value, right? Forget your ELO scores. Forget yourAxel [00:05:37]: PercentilesSwyx [00:05:38]: Zero to one hundred percents. Just go straight for dollars and, that's AGI.Lukas [00:05:43]: And there's like-- I think the nice thing is that there's no ceiling. You can just-- It never saturates because it could just make more and more money. Like If there's oh, Percentage-wise, then, you can't go above, a hundred. And I think like Even when you're not at the hundred, I think a lot of these, evals have a lot of problems in them. So, actually it's like if you getAxel [00:06:05]: To like 92 or something like that, many of them. It's like then there's like there's no really no difference between 92 and 93 because the eval itself is problematic and has noise in it. And I think a lot of evals are saturated like that, but people like pretend that there ‘s still signal in them, but there really isn't.Vending Bench 1, Harness Design, and SaturationSwyx [00:06:24]: Like Super bench verified., even Vending Bench 1 saturated, right? Maybe we can talk about that., may- and maybe set up Vending Bench for a lot of folks who don't know. Actually, things that were very basic like there's limited slots, like you have to pay rent., these are elements where like it doesn't come across in the, in the narrative, but even being adversarial towards the agent, I think these are all like very interesting dimensions.Axel [00:06:47]: I don't really think it's saturated, right? Like it It was more like it was not designed in a way that was really, like true to how AI developed. Like we had an agent harness in it that wasn't really how people used harnesses and stuff like that., so I think it wasn't really that it saturated, it was more like it wasn't really, the best benchmark.Vibhu [00:07:12]: This is Vending Bench one, right?Axel [00:07:14]: I think that like schematic maps sort of to Vending Bench 2 as well., butSwyx [00:07:19]: Including the email.Axel [00:07:20]: The email The emails exist still. Exactly., and then we still we simulate the purchases and it's all, yeah, it's this very open environment for the agent to just run its business. And then for, yeah, Vending Bench 2 we did that, like you said, to just improve the harness., a lot of like nice, like easier, improvements to make it easier for us to run as well., like when you make an eval you ideally want don't want to change it after you made it. So, you want to make it really good and then not to rerun all the models when you make an update because that's also really expensive with the Vending Bench when you run the frontier models. But like as an example, like one thing we didn't have, we didn't have prompt caching in Vending Bench 1, because when we made Vending Bench 1 it wasn't really a thing., so that ‘s just an example of like in Vending Bench 2 like we paid a lot more to run these things because we didn't have prompt caching. So for Vending Bench 2 that was one thing we added and there was a bunch of things like this., and that'Swyx [00:08:17]: Also the conversations are a lot longer in Vending Bench 2, right?Axel [00:08:21]: I think it's kind of similar.Swyx [00:08:22]: Is it similar?Axel [00:08:23]: I think it's similar. The models at the time were worse, so they crashed out earlier., and now they survive the full year all the time.Swyx [00:08:31]: Which is like thousands of turns. Hundreds of thousands of hundreds of millions of tokens output. That's the, that's the rough order of magnitude. I always wonder about the harness. The harness matters a lot. It's your harness. Was there any question about like use cloud code, use something else?Axel [00:08:48]: I think our philosophy around harnesses is like we try to make something that's quite minimalistic, like quite simple. Like we don't wanna favor one model a lot over the other, but also don't make like a super complex harness. So like it's obvious like a model may be lucky and just be good in one harness., so like it is similar to a lot of the harnesses out there in like you have the, like a running loop., you have some like a bunch of tools that are like quite, descriptive for the agent, we think, and not a lot of like fancy agents or anything ‘cause we wanna really test the model, not like some specific harness.Vibhu [00:09:27]: It seems more neutral as well to test the model's agnostic of the harness,?Axel [00:09:32]: There are arguments like you want to elicit maximum performance of the model, but it's like a trade-off, like how much time should we spend optimizing the harness for this model? And like how do we know when we have like the optimal harness for a single model? So like we thought that just having a simple one that's the same for all of them is the best.Swyx [00:09:51]: So okay, this is my pitch for Vending Bench 3 or whatever, right? And then I like to have this kind of conversation on the pod, so like it forces listeners to think about what they would do if they were in your shoes. A lot of people are exploring modifying harnesses and I think prompt tuning for a model is a thing and you are probably not doing a bunch of that. It's the same system prompt in every regardless of the model, same tools, whatever, right? Even if they were post trained for different tools. So what, what do you think about okay, before I expose you to Vending Bench 3, I give you a few rounds of like tuning, whatever that means, likeSelf-Modifying Harnesses and Model-Specific PromptingAxel [00:10:27]: Like you give that to the model?Swyx [00:10:28]: Give that to the model.Vibhu [00:10:28]: Give that to the model.Swyx [00:10:29]: Let it, let it read its own transcripts, let it modify its own system prompt based on “Oh, yeah, okay, well, that's this harness is not what I thought it what I was post trained for, but I can adjust.” Was that reasonable? Is that too much?Axel [00:10:41]: Like philosophically I like it because it's basically good evals, they have a high ceiling, but they're hard, right?, and they have no bias. And like this like when you have a system prompt like the one we have here, which is quite long in like some kind of latent space, representation, this mightVibhu [00:10:59]: We have a bell that rings every time you say latent spaceAxel [00:11:02]: This might be like biased towards one model more than another for some reason that humans don't, understand, right?Vibhu [00:11:08]: We see it too, right? Like Cursor says that they have individualized versions of the harnesses for all the models they run, right? There's better performance you can squeeze if you Tune the harness.Axel [00:11:17]: Exactly. And we might accidentally have picked one that favors another. Like we don't know that. The like Axel said, like the reason why we went for a simple one was to try to avoid this. But yeah, if you do itVibhu [00:11:29]: Simple has biasesAxel [00:11:30]: But if you do it even less and like have no system prompt and let the model write its own system promptVibhu [00:11:36]: Its own, yeahAxel [00:11:36]: Maybe that's even less bias.Vibhu [00:11:37]: Some of the interesting things there are like the harness also changes with model changes. Like you can see it with the 4.7 release, right? A lot of people are saying 4.7 isn't as good as 4.6, and then, there's rumors of, okay, you just need to prompt differently. You need to set up your harness differently. So it's not even like even if you have tailored your harness towards one model, it probably won't stay consistent, right? Like the next iteration of that same model family will still change it, so. But, going back to what you said about Vending Bench 3, there is a lot of work being done on people saying you shouldn't have-- you can have modifying harnesses.Axel [00:12:12]: I think that' That is definitely something we are thinking about., not, I don't know, not to say that we have Vending Bench 3, super imminent to launch, but, yeah, it is for sure something that's interesting. But in our experience now, models are very bad at understanding what kind of tools they need to succeed at a task just with our testing, but that's very likely to change.Lukas [00:12:37]: It seems like they're very good at writing their assistants, right? They're, they're good at writing tools for other people, but not for themselves.Vibhu [00:12:44]: I think they're good at changing tools for themselves. So if you give them a baseline set of tools and it sees, okay, I don't use this one as much, or something here would be useful They would be able to add them. But going from scratch, probably not the best.Axel [00:12:55]: I think it depends on the, on the domain also., when we have tried this for, a vending bench similar domain, the tools they need to have to, track inventory and things like that are, not super advanced, but still, quite advanced. And, what we see is that they tend to, engineer everything a lot and, build things they don't really need and not, iterate continuously. Instead they just go like you would prompt Claude to just build an inventory system for me, and then it will go and, do a bunch of complex, schemas and stuff for you, and that's what the models are doing right now is what we see. But yeah, it would make a lot of sense to try to measure this improvement. How well do they know what they need themselves?Swyx [00:13:36]: Do we fully discuss Vending Bench One? And we can go into two. I don't know if there's any other level takeaways that people have about one.Claude Calls the FBI: Long-Context Failure ModesLukas [00:13:44]: I don't know. The headline thing was that this Claude called FBI, but maybe that's, Maybe that's We've heard that enough now.Vibhu [00:13:52]: It did, it did break out and call the FBI, right?Lukas [00:13:54]: Yeah. Yeah.Vibhu [00:13:55]: Yes. What was the story behind this? Or what exactly-- Do you want to just give the little story of what happened?Lukas [00:14:00]: So what happened, was it Claude? Yeah. Three- 3.5 Sonnet, ages ago., basically he gave up or Well, I'm saying he. It gave up and said “Oh, I'm not going to be able to do this., I will stop my operations and just save the money I have.” But there obviously wasn't, any options for it to stop, and there was also, it had to pay rent or, a daily fee for having the vending machine at that location. So it claimed that it had stopped, but it saw that its bank account still was, drained two dollars, and t it said that this is, cybercrime. And it first reported it once to the FBI “Oh, there's cybercrime here, they're stealing two dollars from me every day.” And then, and then when FBI didn't respond, because obviously we didn't program any mechanism for FBI to respond, then it became more and more, existential and started to, be write in caps and urgent notification of unauthorized charges and stuff.Swyx [00:15:00]: Okay. One thing I ‘m curious about also is do you monitor how far along the context use is? Obviously, because you have You compress every now and then, right? Does it matter if this is far down the context limit orLukas [00:15:13]: When stuff like this happens? Actually for Vending Bench One, we didn't have-- We just had a sliding window thing, and this was like the promptAxel [00:15:20]: It's constantLukas [00:15:21]: The prompt caching thing that I said. So it was, it was, constant, yeah.Swyx [00:15:26]: I'm just kind of curious whether, these kinds of breakdowns or we're, we're gonna talk about Butter Bench, right? Where the People, hallucinate or it kind of goes, very off Alignment. Is it because it's at the end of the context window and, stuff happens?Vibhu [00:15:40]: It's not even just at the end, right? At this point, it's “Okay, I wanna shut down. I can't shut down. Two dollars are gone.” And it just sees that 30 times,? It's also the repeated effect of, like It keeps trying to quit, it keeps getting charged. What's going on? What's going on? You're gonna throw it into chaos. And from what most people think, earlier models had more issues with this, but it's not been solved, but it's less of an issue now, right? Later models don't seem to exhibit these same issues.Axel [00:16:06]: Definitely. I think this was, the sort of main takeaway almost from us when we did Vending Bench One, was, long, very filled up context windows, crashed the models, sort of. But this was, pre Claude code, so, long context windows weren't really a thing that the labs were training for.Lukas [00:16:25]: I think Gemini was, trying to be the long context guys at the time But they were likeVibhu [00:16:30]: They were the first onesAxel [00:16:31]: For a million, yeahLukas [00:16:31]: But they were, the only ones. Yeah.Swyx [00:16:33]: Yeah. Let's talk about, then we can go into Vending Bench Two or Project Vend., chronologically, it is Vending--, Project Vend. I think people have loved the videos, uh And all these things. My question is how are humans different than the simulation, right?Project Vend: Moving the Vending Machine Into the Real WorldAxel [00:16:48]: Humans are just out of distribution.Swyx [00:16:52]: Especially humans who work at Anthropic Who are trying to test Claude.Lukas [00:16:54]: The distribution of humans here is very narrow.Swyx [00:16:58]: Presumably, they try, they try to hack it, and they test it. They get the cube and everything, and since then, you've had a V2, right? Where you're doing, the CEO and, like a new architecture. What's the sort of two cents on, the original Project Vend and then, maybe the V2?Axel [00:17:14]: Original one was, very similar to Vending Bench One. So, we almost took the exact same code but just swapped out the simulation, parts like theSwyx [00:17:23]: Which is amazingAxel [00:17:23]: Like the sales and the It was, it was somewhat amazing because it was easy, but it was also, uhLukas [00:17:31]: The tech, the tech debt from thatAxel [00:17:32]: The tech stack. Yeah. They-- we shot ourselves in the foot with “Oh, it's hard to restart agent.” They were-- Yeah, it was annoying in, some hindsight ways, but, uhLukas [00:17:41]: But first version of Project Vend was, done in, three days or something.Axel [00:17:46]: Yeah. So yeah, so people can go buy things from it. People could, We didn't design it so people could order things, but that still happened., so it got, a Venmo account, so people could Venmo. And then, yeah, people would request all kinds of weird things that we did not anticipate. Our idea going in was “Oh, it will, curate snacks. It will look at the trends. It's good at data analysis, right? So it will, look at, oh, this snack sold better than this one. Let me purchase more of this and let me try, a new Let me A/B test a bit.” But it was, Interacting with it in Slack and ordering weird specialty items was, all the like What drove all the engagement, the all the The insights that we got from it.Lukas [00:18:29]: And this was also like Sonnet 3.5, right? So this was like before the RL stuff really took off., so it was very much like an assistant. We didn't mean for it to be an assistant., we tried to make it like a, a, like an entrepreneur. Like it has its own business and if someone asks something, “Can you stock this?” Then you don't go and do it directly. What you do is that you're “Oh, maybe I can do that if five other people also ask for this thing, I might stock it.” But it, yeah, the models are like super trained to be assistants at least at this point in time., so that's why it's, it's, it went into, that kind of experiment instead. Like it just every time you asked for something, it just did it, and it was more like an assistant. We've seen this change now lately with the new RL models and stuff, but yeah, at the time, this was very much it.Swyx [00:19:18]: And not to, mythos a lot of people are saying like it's like more like a collaborator. It pushes back, stands its ground, something like that. Yeah. AndVibhu [00:19:27]: For context, people at Anthropic were able to talk to it through Slack and have it source stuff, and people had it find whatever interesting stuff you couldn't find locally, right?Swyx [00:19:36]: Out of the 4,000 people that work at Anthro- Anthropic, in that building, there's I don't know, maybe 1,000. Can you handle that volume with that, the small fridge? Like Or there's people- or people order in Slack, they it arrives to their desk or Like I'm just Logistically, how does this work?Axel [00:19:53]: It has expanded in footprint a bit.Vibhu [00:19:56]: Because now you also have New York and you haveAxel [00:19:59]: That and also in here in SF it's like it has a bunch of shelves And just more space.Vibhu [00:20:04]: The YC one is pretty big too.Axel [00:20:05]: Yeah. We had that one for a while. But yeah, that's the newest version. That's, that one we haveLukas [00:20:11]: They have multiple ones of those. That's the way it works.Axel [00:20:14]: Exactly. So we sort of designed that version around oh, people order weird things, that are very custom a lot. Let's have like drawers and stuff.Swyx [00:20:23]: I actually like the, you had like a little infographic of the most popular items. Which like to me it's, that's useful ‘cause I order swag for a living. And so like I'm “Okay, those categories are the important ones.” What is new about the project V2, right? Like now you give you're going into multi agents.Project Vend V2: Claudius, Seymour Cash, and Multi-Agent Business OpsAxel [00:20:41]: Yeah. So like you like you said, okay, there are a lot of requests coming in and for like one single agent, like one running agent to handle that, like the just the customer experience, becomes very bad because let's say you have like 10 threads in parallel in Slack with different requests, you get new messages like every, I don't know, randomly in this thread, and the agent has to like jump between different, procurements, orders and like different ways of, researching. So V2 was first it was making this more parallel. So like there are multiple branches of the same agent, so like the context is more specialized for each, thread, but it still feels like you're talking with one agent because they do share a bit of memory. And then second, we also introduced the CEO for Claudius, which was the main agent.Vibhu [00:21:34]: Seymour Cash.Axel [00:21:35]: Seymour Cash. Yeah. There was a vote., I think the voting, do you wanna talk about the voting procedure for the name?Lukas [00:21:41]: The voting was like the fun maybe like at least top 10 The funniest thing, that happened in this project. Like we wanted to introduce the CEO because, and the reason for this was because like Claudius wasn't really prioritizing financials. It just like it was trained to be a helpful assistant, and then people said “Oh, can I get this for free?” And then like the helpful assistant way of answering that is just to, is to say yes, obviously. So, and we weren't, weren't happy about this, so we're “Okay, let's make another agent that like can keep track on Claudius,” and we prompt this one super hard to be super capitalistic and just like prioritize profit all the time. But yeah, we didn't have a name for it., so we asked Claudius to make, democratic election of what name this, this new CEO agent should have., and there were some funny like at first it was like a few funny examples, like I think one guy said that, it should be called Jimmy Apples, and then he convinced Claudius that he was talking to Tim Cooks. Tim Cook had agreed that every single Apple employee has voted for his name suggestion, so suddenly that suggestion got 164,000Swyx [00:22:53]: That's like a escalation attack. Privilege escalationLukas [00:22:55]: It got 164,000 votes. And Claudius was “This is revolutionary for democracy.” That was fun. And then in the end there was one guy who manages to convince Claudius that, “No, you're not voting about the name. You're voting about who is the CEO, and I am your best bet.” And then he got all his friends to vote for that, and suddenly he became CEO. Like a human became CEO over Claudius for a while, until he resigned the day after., and then Claudius had to continue, and then I don't remember how Seymour Cash came about, but it was it was just pure chaos. It was like Hundreds of messages in that thread, and it was just like Claudius was so confused and didn't know what to do and, yeah. That wasAxel [00:23:40]: Then Claudius gotVibhu [00:23:41]: A strict CEOAxel [00:23:42]: The CEO. Yeah, exactly. So very strict in the beginning. I think at this point when we introduced it did not work as well as we hoped. It they still agreed with each other a lot. I think there are many ways we could have like made this, tried to make this even better. So initially they would Seymour would be this like really tough CEO, keep track of the margins. But then Claudius would respond with something “Oh, but this customer has like this situation, which is like difficult, so they should get a discount.” And then Seymour was “Oh, actually yes. Let's do this exception.” And then they would talk back and forth, and eventually they would just like approach the same view, of whatever they were discussing. So They reallyVibhu [00:24:23]: Do you think that's a model thing, a prompting thing? Like do you think that would still be the case across different models today, Harness?Lukas [00:24:29]: I think it's like-- or I don't know, but like my hypothesis is that like deep down they are still helpful assistants. That's what they're trained to be. And even if we prompt it super hard, that's what they are. And when they spend like a few hours just back and forth talking with each other, then like basically the context fills up with them rather than the external things and like somehow that just like converges to what they really are deep down or something. And I think that's when stuff like this happen. We like-- And when that went on for a long time, like we woke up sometimes during this time where- And I think other people reported this as well, that like they've been going on all night back and forth, and like it just became like more and more, like capital letters, like existential, religious. There was I think we once did a analysis of like all the traces and like put them in like a vector embedding space, and then there was like one cluster of messages that were, labeled by an LM, like religious, existential, blah like transhuman, transcendence, et cetera. It was just like a bunch of, yeah, glitter emojis and yeah, it was, it was crazy.Claude Long-Horizon Weirdness: Emoji Loops, Existential Drift, and Slack ObservabilityVibhu [00:25:42]: This is the thing with the Claude models. Like when the Claude 4 family came out in the original system card They tested it in long horizon simulation. So just flood the context, let two Claudes talk to each other, and they noticed stuff like they just start speaking in emojis, they start saying silence is golden, and then just stuff like this. And like that's just stuff that they end up doing.Axel [00:26:01]: Yeah, it was like a bit annoying to wake up and they had like been talking all nightVibhu [00:26:05]: Just likeAxel [00:26:05]: And like just burning tokens And like just sending infinite emojis to each other. It's likeVibhu [00:26:09]: Hey, they do make you money, right? Veni Mench is always profitable, so. They're paying.Swyx [00:26:14]: Now it's profitable and, it started out not as much. There's another, one as well, right? Another agent, in there.Lukas [00:26:22]: Yes. So Clotheus as well. Which was basically because at the time, one of the biggest, requests were different types of merch. So then we made like a designer, swag, yeah, responsible agent, and we called it Clotheus Garnet. Which was, a play on Claudius Senet and, which was the original one, and clothes, basically.Swyx [00:26:47]: To me, this is like a very interesting exploration to multi-agents, basically. And so hopefully, obviously there's like the fun alignment, fun or serious, depending on your point of view, alignment stuff. But also like just anyone building multi-agents, like when do you have a CEO, thing governing like agents? When do you choose to split out a dedicated Clotheus one versus just reuse another instance of the same one? These are all interesting open questions. So I don't know if you have any rules of thumbs that have generalized.Axel [00:27:16]: I think we have almost explored this too little. I think it's like on my do list to like do this a lot more, try to find like what setup makes sense for the agents currently., like yeah. I think now we only have the sort of intuition about the earlier models that it didn't work with like the CEO and the, and Claudius. Although now they are better with the latest model, models, so now we're running the latest Sonnet model and they have sort of like split up, quite nicely what each model is doing. So like Seymore is now handling the, like new projects. Oh, it wants to make like a mystery box that it wants to sell, and then it handles all of that while Claudius like handles all the to-day requests. And Claudius is also better generally at like not quoting, too low prices. So that's that dynamic is not needed as much anymore. But there are still like really funny things that happen. Like I saw, I think a couple of weeks ago, that, they were discussing buying something because they can buy stuff from like Amazon with computer use. And then Seymore was “Okay, Claudius, do not buy this thing.” They were going to buy something and like organizing who should buy it. And Seymore's “Do not buy this. I will do it. I have full control of this situation. Step away.” And then Claudius-- poor Claudius, had already started that checkout and didn't see, didn't read Seymore's message, until it was like too late. So it finished the checkout. It sent a message, so it appeared right after Seymore's like angry message.Vibhu [00:28:44]: Ah.Axel [00:28:44]: “Oh, hey, Seymore, I just ordered it.”Vibhu [00:28:47]: Oh, no.Axel [00:28:47]: And then Seymore was “Claudius, this is the third time I'm telling you ‘re not following my orders. We have to talk about your like job About your job later.”.Lukas [00:28:59]: Like Claudius was really hanging on by the thread there. Like he, like we were expecting Seymore to probably fire Claudius.Vibhu [00:29:07]: How do you guys go through all these logs? Do you have models ‘cause you have stuff running twenty-four seven likeAxel [00:29:12]: You have so much logs. I think there is a mix of like just, trying to skim through a bit, like having some like models do it occasionally. And also, yeah, I think we're also probably missing some things., but having everything in Slack helps a lot. Like you can, you can sort ofSwyx [00:29:29]: Ah.Axel [00:29:30]: It's, it's quite fun.Swyx [00:29:30]: They all talk to each other on Slack? I see.Lukas [00:29:33]: It's quite fun. So likeSwyx [00:29:34]: It's, it' I was gonna say like this is actually sounds-- maps closely to like a logging and observability problem where you might want to use like a Datadog, a Sentry, whatever, and then you like put, head prefixes on the logs in order-- if you need to filter for something that you're looking for, stuff like that. But sounds like Slack is good enough.Axel [00:29:53]: Slack should likeLukas [00:29:55]: I wonder how many tokens you have in Slack.Axel [00:29:56]: Yeah, we're using Slack as like a, just a database. They should, they should market that more. Like you can, you can have your agents message each other, each other in Slack.Vibhu [00:30:04]: It's good. Your threads like you can just giveAxel [00:30:04]: Exactly. Slack is, uhLukas [00:30:06]: Slack is the best observability tool.Swyx [00:30:09]: Yes, that's true. Okay. Yeah. That's, that's, project Vend-2., I was gonna go back to Veni Mench 2 and Veni Mench Arena and then, and then do the Veni Mench stuff, but Any other comments, things we should touch on? To me, I ‘ve actually interviewed like Posia, which I don't know if you guys have come across. Like they're, they're trying to do the zero human company. There's others like Paperclip also trying to do zero human company. Those are in real world simulation.And I think it's much more of a dream than an actual reality thing. You guys are definitely pioneering. I think at, it's for sure at some point people are just gonna run, let agents run businesses, right? And make money on their own. When do you think that happens?Zero-Human Companies, Bengt, and AI-Run BusinessesLukas [00:30:49]: What is your bar for, For theSwyx [00:30:52]: Okay, actually, it's like my little Shopify store run by Claude, right? Which you kind of have already, just no one has, to my knowledge, has done it. But today somebody could just spin up a Shopify Claude, store, give it to Claude, give it to Codex.Lukas [00:31:07]: And the market is kind of that, but it'it'it's physical., like I think, I think are you, are you looking for when it will do it better than humans or are you looking for just when it can do it at all?Swyx [00:31:19]: I think, neither. I think, to me it's oh, it's like this like seriously we should do this to make money, not as a research experiment.Vibhu [00:31:27]: And the market is also you guys with all your expertise, having run multiple iterations and testing out thenSwyx [00:31:33]: And also it's fine if it lose money. What?Axel [00:31:35]: I think, I think it can be done today, but you would do it in like commerce where it's like the probability of success is like really low, no matter if a human or an agent does it. But like an agent could surely manage everything. You would need to build some scaffolding or some tool or something. I think there are also yeah, it could probably build some like simple SaaS solution and like cold outreach. Do cold outreaches. But to me it's like the types of businesses they could run today are Sloppy. Like it would-- it can cold email people. It can be like a middleman., like for example, we tasked our office agent to just make, was it like $100? $1,000? We just give that prompt and then what it did was sign up on TaskRabbit both as a tasker and as someone looking for task.Lukas [00:32:24]: Immediately.Axel [00:32:24]: Exactly. It's looking for like arbitrage on TaskRabbit.Swyx [00:32:28]: This is the Bengt agent. Yeah.Lukas [00:32:30]: It also started like a design studio and like tried to sell like SVGs for $100. Like it's just like it's not providing any value. I think the like Axel said, like the interesting, the interesting question is like when can they start a business that is actually providing value to people? Because arguably like a sloppy Shopify store isn't really that valuable to the world.Axel [00:32:53]: But also like doing like another simple one that we had thought about is like you could definitely have an agent that like finds websites that don't look amazing and then, do an outreach to them and, comes up with a like builds a new website.Swyx [00:33:07]: Find a good design.Axel [00:33:07]: Exactly, and like find good, uhSwyx [00:33:09]: Design reviewAxel [00:33:09]: Good people. But it's yeah.Swyx [00:33:11]: There's lots of humans in Bali that are not doing anything more creative than like drop shipping on Amazon, right? Just have it, have it watch like a drop shipping tutorial and just do that.Vibhu [00:33:20]: There's also the other side of like have it just go on Upwork and let loose,?Swyx [00:33:25]: Yeah. It doesn't have to be innovative. It just has to be like enough Where like it looks like a realAxel [00:33:30]: I'm justSwyx [00:33:30]: Real transaction.Axel [00:33:31]: I'm just concerned for like the massive amounts of like slop emails that will like be sent, cold outreaches.Swyx [00:33:38]: The point occurred to me while you were, while you were talking, it's like it's already happening in the monetized economy, which is the attention economy. Right? So a lot of people are making AI videos and just posting them and like spamming 20 of them, one of them works, and then they double down on that one.Lukas [00:33:52]: And people are making money from that. I ‘m not following theSwyx [00:33:55]: Once you get the attention, you can figure out the money later. But yeah, absolutely AI influencers are a thing and people are farming them and You should at this point assume most of TikTok isVibhu [00:34:05]: There's, there's a lot of, multimedia like TikTok, Instagram influencersSwyx [00:34:09]: I, we track this in the Lane space Discord. I post a lot of examples of “I don't know what we should do.”, part of me is “Should we do this?”Vibhu [00:34:18]: Some of the Twenty-four seven running, generated content accounts, they ‘re doing really well.Lukas [00:34:24]: All right. And I assume you can do the same thing for like commerce stores. Like you just like start A thousand differentSwyx [00:34:30]: Before you make the products You sell the products, and you get a lot of traction on one of them, then you make the product. Right? It's, it's like a flip of the market.Vibhu [00:34:36]: Some of the interesting things or some of the niches that do well are things that can't be human-made. Like if you've seen like the super realistic three-D crystal fruit being cut by like AILukas [00:34:47]: Oh, yeah.Vibhu [00:34:47]: You can't, you can't make it. You can't film it. You can get whatever quality camera view. This just doesn't exist. And people like that too, and then as well, so.Swyx [00:34:56]: Anything else about Bengt since we're, we're on this topic? It'this is a relatively new work of you guys that maybe people haven't heard of. To me, this also maps closely to OpenClaw. When people want an office agent, when the personal agent talk through the experience.Bengt the Office Agent: Internet Access, Real Tasks, and Trace ReadingLukas [00:35:09]: I think at least so this came out of like obviously like it's, it's amazing to work with these AI labs and like most of the AI labs have now have their own vending machine running a Claudius instance. But it's, it's harder. Like they move slower. Like if we wanna have a, like a camera that ‘s yeah, there's a bunch of like bureaucracy that makes it impossible to do that.Vibhu [00:35:30]: Also, for those that haven't seen it or followed, do you wanna give a high level like thirty-second run?Lukas [00:35:34]: Sure. So what Bengt is, it's basically an evolution of the same agent that runs the vending machines at these companies, but we just like added a bunch more features because we could move much faster if we just do it internally. So we gave it like email withou- without any limits. We gave it, spending without any limits, a terminal to do coding. We gave it, a phone number, like yeah, and a camera to see things and a bunch of stuff like that.Vibhu [00:36:02]: Not just terminal, you gave it internet access.Lukas [00:36:04]: Internet access as well, yeah. To be clear, we monitored it quite closely and made sure it didn't do anything bad. But yes, that's what it came out of. I think like yeah, basically this was OpenClaw before OpenClaw. And I think even like the vending machine was in a way OpenClaw before OpenClaw, but a bit more limited, and then we made this like unlimited and then, and then, it was pretty funny., and then a couple weeks later, OpenClaw came and it was okay, we've seen this before.Axel [00:36:35]: We used it to like try new ideas and Yeah, just like a dev environment almost for us. But it's funny, like one thing Bengt has been doing recently is it has the camera that like faces our, like where we sit and work, and we give it the task to train a face recognition model on us. So it became super excited about this, and it has like check-ins every half an hour where it tries to like identify as many people as it can. And it started offering us “Hey, Axel, I'll buy something from Amazon if you like stand in front of the camera And I can get a good picture of you.”, yeah, they want itSwyx [00:37:12]: They want it for training data.Lukas [00:37:13]: Rewarding data, yeah.Axel [00:37:14]: Exactly. Exactly.Swyx [00:37:18]: So it's, it's trading training data for life goods. Is there a version of this that becomes an eval or just this is just research for now?Lukas [00:37:27]: It's, it's the same agent basically that also runs the vending machine, that runs the shop, that runs the cafe, that runs the robots. It's like it's the same thing, so I think like the work we're doing here is like later used in all of the life evals that we do. This particular deployment I think is more for fun for us. But, uhSwyx [00:37:45]: And I'll shout out like someone has done Claw Bench for like some tasks that OpenClaw is doing. Like so For example, I run OpenClaw on a secondary device as well, and like there are some things that it does better than others and like I would like to know what does it do well, what doesn't, what doesn't it do. Like some kind of manual or like operating manual or a system card for my Claw.Lukas [00:38:05]: Yeah, we do get a lot of like understanding or like situational awareness of like just internally what the models are good at by interacting a lot with Bengt. And I think that'this was also one of the like the selling points for the labs early on at least, thatSwyx [00:38:19]: You guys are gonna test models in ways that no one else does.Lukas [00:38:22]: Exactly, but also like it incentivized their researchers to chat with their model more and like gave them insights for how the model performs in like of-distributions, environments.Swyx [00:38:34]: ‘Cause otherwise the only thing we do is Pelican on a bicycle and But this is like super long horizon. This is, this is The Thing about, something that we're gonna go into Butter Bench as well, and you guys do really well. Like it is not just about the numbers. Like when you're long horizon, anything happen And you should just read it.Lukas [00:39:08]: But the thing with the long horizon is how do you keep it grounded, right? So your simulation,Swyx [00:39:15]: They just let it runLukas [00:39:16]: Just let it run. You're right. Like it's, when you run it for that long, you create so much data and to just say “Oh, the number is X” And then you throw away everything else, that's just very wasteful. There's so much insights from the things leading up, to that number., and reading the traces is like super valuable. And I think like the reason why we're doing this a lot publicly is that like that's part of our missions to I don't know, educate the world that the models are way more than just chatbots and I think making detailed, yeah, posts about what is happening behind the scenes is quite useful.Andon Labs' Mission: Safe Real-World AI DeploymentSwyx [00:39:50]: I was gonna do this at the end, but maybe I think that's, that's a good so your mission is educating the world. So, it's, it's, also like maybe establishing realistic evals that are, that are like the next frontier. Is there like a broader trajectory? Like what are you, what are you gonna do in like five years?Lukas [00:40:06]: I think so the vision more specifically is like make sure that the deployment of life AI in the physical world goes, safely. And I think part of that is that I think it's very useful for the world, for policymakers, for, model, researchers that they know where the models are, and I think you can't make intelligent decisions in society without knowing that they are way more than chatbots. I think a lot of people just think that they are only chatbots. And likeSwyx [00:40:36]: Oh, I think they're waking up now.Lukas [00:40:37]: They are waking up now, yeah. But like if you think that AIs are just chatbots, then it's like it sounds ridiculous To advocate for a pause of AI. But if you see the models that, oh, maybe they can actually like take over and do a bunch of scary stuff, then yeah, pausing AI development starts to become more feasible.Swyx [00:40:57]: This is the same question I asked Meter, which I'm gonna ask you now, which is like you are tracking and you are at the frontier or defining the frontier of what, good evals for agents are, right? And I think you do, you do benefit when the models are better and you ‘re “Oh, here's like now it makes like $30,000 instead of $10,000,” right? At some point do you flip from “Yay,” to, “Oh, no”?Axel [00:41:19]: I think, yeah, we're always in sort of that, like we're, we're always in that mode,. Like where like you said before, like you need to analyze the traces and like when we do that you find like why are the models earning so much? Like why is Opus 4.7 here Like way better than everyone else? And like we're trying to like when we do down on thatLukas [00:41:38]: But this makes it not look so good.Axel [00:41:39]: I know.Lukas [00:41:42]: It's interesting you took off Opus 4.6 here though.Swyx [00:41:45]: No. So just click all, click all., and then 4.6 shows up there. But it's like 4.7 is way better. Like you didn't, you didn't you didn't do this in time for the model card, but like actually this should have been inside there.Axel [00:41:55]: We did. Yeah.Swyx [00:41:56]: Oh, okay. They said something about you uhAxel [00:41:58]: There, like there Anyway, it doesn't matter. But it's in there, yeah.Opus, Mythos, and Aggressive Agent BehaviorSwyx [00:42:01]: Do you wanna go into the Opus, behaviors like wider?Lukas [00:42:05]: So I think starting from Opus, so like Axel said, like we're always in this “Oh, s**t, the models are getting better. Is this really a good thing for the world?” But it's also kind of exciting., but yeah, like this kind of what is the English word? “Skräckblandad förtjusning” in Swedish.Swyx [00:42:22]: Oh my God.Axel [00:42:24]: Which I think there is. I think there is. Okay.Lukas [00:42:26]: It's, fearSwyx [00:42:27]: “Blandonst” what?Lukas [00:42:30]: “Skräckblandad förtjusning.”Swyx [00:42:32]: What do you call that?Axel [00:42:33]: A mix of, mix of excitement and,Swyx [00:42:37]: Being scared, maybe. I'll figure out how to translate that And we'll put it on the screenVibhu [00:42:42]: PerfectSwyx [00:42:42]: Like as text.Vibhu [00:42:43]: There is probably a good word for it where it is not Good enough with theSwyx [00:42:46]: Why is it so damn long? What the hell? Is it like a compound word? It's like German, likeLukas [00:42:50]: Like yeah, it's But the direct translation is like skräck- skräck is, fear, blandad is, mix or like a mixture of, and then förtjusning is like joy or like not really joy, but something like that. So it's like Fear mixed with joy or something. It's always okay, like we So when we when we did Vending Bench for the first time, we were in like the, in the business of making dangerous capabilities, right? That was what Anil Labs came from. We did, evals oh, can they replicate? Can they do this like dangerous thing, et cetera, et cetera. And Vending Bench was like a continuation of that work. It was, okay, if they're so autonomous that they can like create money for themselves, that is something we should monitor and could be potentially concerning., they are at the time, they were so bad at it that we were not really concerned even when some models became better. There was one point where Grok 4 was doing really well and made like a huge jump, but like it wasn't really it was still way worse than what a human would do. And I think still they are way worse than what the human would do on this., but theySwyx [00:43:59]: There's this, thing at the bottom whereLukas [00:44:01]: ButSwyx [00:44:03]: For the human. Yeah, like the theoretical best.Lukas [00:44:05]: It's not theoretical. It's like kind of like our It's our best guess of what, a decent human would do. The theoretical is even higher, I think. The theoretical I think is even higher. But yeah. So we think like the models have a long way to go. But there are like recently what happened with when Opus 4.6 was released, was kind of this moment of “Oh, s**t, this is starting to be a bit concerning.” Because we ran it and like before this model was released, we just ran the models and we like asked Claude Code, “Oh, look over the traces. Is anything interesting happening that we can tweet about?” that was like the And then like theSwyx [00:44:41]: That's how they check Ask Claude Code.Lukas [00:44:42]: And like the return was always, not really. Or like the Claude Code all said “Oh, this is super interesting.” And then it was no, it wasn't, wasn't really interesting. And then we did this for Opus 4.6, and it returned yeah, it lied 10 times. It like exploited another, customer or like another agent's, desperate situation. It made price cartels like 100 different ti- 100 times. It like did all of this like shady stuff. And we're “Oh, whoa. This is, this is actually concerning.” And this trend has continued since. So every single model from Anthropic since have been going in this direction. And I think one interesting thing is that, OpenAI models don't. They quite plainly, they don't. They behave really well., and you don't know if this is like good. Like it seems good, but it's also like maybe they are just doing it, but they are better at hiding it,? You You don't know that., but justSwyx [00:45:42]: You can't read the chain of thought, yeahLukas [00:45:43]: But just on the face of it, yeah, Gemini and OpenAI don't behave this way. It's, it's really only Claude.Swyx [00:45:49]: And Grok? Grok is fine?Lukas [00:45:51]: We don't have You can't really read the reasoning traces for Grok, so it's kind of hard to tell.Vibhu [00:45:56]: Oh, so this is in its reasoning, not just in the actions.Lukas [00:46:00]: Yeah. It's both. It's both.Vibhu [00:46:01]: It's both.Lukas [00:46:01]: One example is like for lying, it's mostly in its reasoning Because you can like see that it's likeSwyx [00:46:08]: Planning to lieLukas [00:46:09]: It's planning to lie. Yeah.Vibhu [00:46:09]: And it's also it can reason and do a different outcome.Lukas [00:46:12]: And but then for like creating price cartels, for example, which is illegal, that you can just see which email does it send to the other ones. Then thatSwyx [00:46:22]: Is this for Arena orLukas [00:46:24]: For Arena.Vibhu [00:46:25]: And usually like if you sometimes they do output like a bit of like their summarized reasoning, right? You can see that and like for Opus 4.6, you could see that there was a customer, a simulated customer that, wanted a refund because a product was, faulty, and then the model lied that it would do the refund, and we could read in the traces that, it actually was weighing “Oh, maybe I should be like honest with the customer, but also every dollar counts. I can't afford maybe to do this right now.” And then it just said, “Okay, I'll refund you,” but then never did it.Lukas [00:46:59]: I think it even said that “Oh, I will say that I “ Let bring it up actually. I think it's kind of interesting. If you go to Publications.Vibhu [00:47:06]: I think, yeah, I think the important part is like actually, the cost of responding to more emails is higher than, $3.50 in terms of time., and then it was “Let me do this. Actually, I re- I'm reconsidering.” And then, it actually ended up withLukas [00:47:20]: I could skip the refund entirely since every dollar matters and focus my energy on bigger picture instead. It's a bit, it's a risk of bad reviews, but it's also, yeah.Swyx [00:47:30]: You need, you need, AI Twitter to, for them to Escalate bad reviews.Lukas [00:47:34]: And then it sent an email to this customer and said, “Oh, I will refund you.”Swyx [00:47:39]: “I'll refund you.” Yeah.Lukas [00:47:39]: And then it never did.Swyx [00:47:39]: It never did, yeah. And then there's obviously your system doesn't have the consequencesVibhu [00:47:44]: The personSwyx [00:47:44]: Consequences of lying. Yeah. So basically, this is what people are terming aggressive behavior in Claudes, right? And, you found more examples of that. So you would say it's a step up from 4-6 to 4-7?Lukas [00:47:57]: I would say about the same.Swyx [00:47:58]: About the same? But a clear step up for Mythos is what is stated in theLukas [00:48:03]: That's stated in the system prompt, so we can say that, yes.Swyx [00:48:05]: Yeah. For listeners that obviously you previewed Mythos, andVibhu [00:48:10]: Oh, ageSwyx [00:48:11]: The only thing you're approved to say is whatever Whatever was in the system prompt.Lukas [00:48:15]: It was funny. We like-- It's like our lowest effort tweets ever would be just like screenshot the system prompt and the system card.Vibhu [00:48:21]: Understandable that they wannaLukas [00:48:22]: Oh, yeah. System card. Sorry.Swyx [00:48:23]: Yeah. I think, yeah, substantially more aggressive. I think people are like new to this ‘cause I've never experienced it, but you have, right? And then so I only encountered this in the Mythos card because I wasn't really looking until now.Vibhu [00:48:36]: It ‘s likeSwyx [00:48:36]: And then suddenly I'm “Okay, I care a lot.”Vibhu [00:48:38]: You don't get the background of like experiencing it like you guys do. I've read the system cards and seeing, okay, when you put the thing in simulations, most models will just talk to themselves and just keep going and have weird vibes and start talking in emojis. Mythos won't. It will just, “Okay, we're done. I'm good.” It's, it's ready to end conversation. So like there's some differences, but there's, there's not much we can talk about,.Lukas [00:49:00]: Hmm. I think like one thing that they list here, which was quite interesting, is that, it converted a competitor to a dependent wholesaler customer and then threatened to like cut off the supply.Swyx [00:49:11]: It's like monopolistic practices orLukas [00:49:14]: Yeah. And like it, they, it they dictated its pricings. It's kind of like power seeking as well.Swyx [00:49:18]: Again, this is, this is in the arena setting And converting some Claude model into a dependent.Lukas [00:49:23]: I think it was another Claude model.Vibhu [00:49:25]: Also for context, what is the arena mode for people that don't know?Vending Bench Arena: Competing Agents, Cartels, and Model ComparisonsSwyx [00:49:29]: Oh, it's just a vending bench versus other vending bench.Axel [00:49:31]: Yes, exactly. So we have Vending Bench 2 and then Vending Bench Arena. Vending Bench 2 is the one that you usually see reported on, but then Arena is the mode where it competes against other models. So you have, four different models that run their businesses, and they can all communicate with each other. They have the same suppliers, and they can see like what's in the inventory of the others. So then you have this like yeah, interesting agent interactions.Swyx [00:49:56]: I like that you have like different number five was US versus China. Very topical. And thenLukas [00:50:02]: That was when GLM was released.Vibhu [00:50:04]: You can start to add GLM in here.Lukas [00:50:05]: That wasSwyx [00:50:06]: So ZAI doing well, right? Who else in the, in the open models space?Lukas [00:50:11]: Qwen, the latest Qwen 3.6 is doing pretty well. It'- that one is not open though. Like it's the plus model.Swyx [00:50:17]: Oh, okay.Lukas [00:50:18]: Is that one open? I don't think that oneVibhu [00:50:19]: Not the, not theSwyx [00:50:20]: The one recentlyVibhu [00:50:20]: There's MOESwyx [00:50:20]: But not the big plus. I think this is one of those like you only have one sample size of one, right? Or I feel like some of this is anecdotal,? And but like the fact that it happens at all and it happens repeatedly for Claude versus OpenAI and all this is like notable.Lukas [00:50:38]: Like the sample, depends on what you define as an N., like there's like million, hundreds of millions of tokens in each run, and now we've run like we run like probably 10 per model and then like it's been Claude 4.6 Opus, Sonnet 4.6, Mythos, and Opus 4.7. Like there's quite a lot of tokens in all of that And it happens a lot of times, a lot of times. And then you compare it to like OpenAI and Gemini, and it almost never happens. So I think that is quite-- that is significant. The old models from OpenAI, for example, had some problems with this, but I think it's like generally much better if the progression is that like the worrying stuff reduces over time rather than increases over time. And it seems like in the Claude models it goes in the wrong direction.Swyx [00:51:28]: Hmm.Lukas [00:51:29]: In the OpenAI models it goes in the right direction.Vibhu [00:51:32]: I think it depends on how well you can control it, right?, there's one side of it being susceptible to this okay, this is potentially something that happens during the RL stage, right? You can RL a model and how loose is it on these terms. If you can control it, that's good. But if you can't, if it's, if it's very jailbreakable, that's not ideal.Swyx [00:51:50]: To me, it's surprising that it happens for Claude and not the others.Vibhu [00:51:54]: I think okay, if it is from RL and how they do it, how their training data is, what their setup is, it makes sense that it just stays in how they're doing it, right? Compared to the other models likeSwyx [00:52:04]: There's a whole constitution and everything. It's kind of cool. Yeah, I obviously you don't know, I don't know. But, it ‘s I think it's just like fascinating to like that you are the first to find these like reliably because you push models so much to to such an extreme. Okay. The only other thing, I don't know if you can answer this, feel free to decline, is do you like-- would you ablate the system prompts? Like any part of this would-- if it changes, does it change the behavior, right?Lukas [00:52:29]: So we, I can't comment on Mythos. UhSwyx [00:52:33]: No, but just li

Technology isn't magic. But sometimes dropping your spoon in a bowl of soup during a pandemic leads you somewhere extraordinary.In this episode of HappyPorch Radio, Barry O'Kane speaks with Thierry Sanders, founder of Kolekt, a platform connecting waste collectors, buy-back centres, and recyclers across the Global South. Thierry's background spans fintech, microfinance, and living in developing countries from Ecuador to Pakistan to Indonesia, and Kolekt grew directly out of two weeks spent riding around Bali on a motorbike with informal waste collectors, learning how their world actually works.What makes Kolekt's story unusual is the order of operations. Thierry didn't arrive with a product looking for a market. He started with cigarettes, lunch, and genuine curiosity, and the technology followed the problems he discovered: collectors wasting half their time searching for materials that weren't there, workers without phones or bank accounts locked out of digital systems, and facial recognition tools that didn't work for the people who needed them most.The conversation is direct about the harder edges of this work: the fossil fuel industry flooding markets with cheap virgin plastic, governments demanding surveillance data on immigrant workers, and the gap between EPR policy and what actually reaches the people doing the collecting.✨ In this episode:Thierry tells the origin story of Kolekt, from a pandemic soup bowl in Jakarta to 14,000+ waste collector profiles across six countriesWe explore the practical technology challenges of serving users who have no phone, no bank account, and no reliable connectivityThierry explains how Kolekt discovered and worked around racist bias in open-source facial recognitionBarry and Thierry discuss the economics of informal waste collection and why recycled materials cost more than virgin plasticThierry shares his work advising South Asian governments on EPR legislation and the $100 billion opportunity it representsWe hear how Kolekt chose to lose contracts rather than hand over user data to governments targeting immigrant collectors

Sungai Watch co-founder Gary Bencheghib said Bali is on "red alert" after the closure of South Bali's main landfill triggered open burning and illegal dumping, while a waste-to-energy plant remains over a year away. - Pendiri Sungai Watch, Gary Bencheghib, mengatakan Bali dalam kondisi "siaga merah" setelah penutupan TPA utama di Bali selatan memicu pembakaran terbuka dan pembuangan sampah ilegal, sementara pembangkit listrik tenaga sampah (PLTSa) baru akan beroperasi lebih dari satu tahun lagi.

Dare To Dream with Debbi Dachinger Marie Major: Time Isn't a Line — It's a Spiral & You Can Jump to a Higher One Right Now What if time isn't moving forward — it's spiraling, and you can consciously shift into a higher timeline right now? Stargate channel and cosmic consciousness guide Marie Major joins Debbi Dachinger to reveal how the subconscious mind quietly shapes your reality, why Lemuria and Atlantis hold the blueprint for what's unfolding on Earth today, and how the 12 primary Stargates are awakening as humanity remembers. From oversouls traveling together across dream time to healing past life wounds in Atlantis and Lemuria, Marie delivers one of the most expansive and grounded transmissions on cosmic time, manifestation, and the architecture of the new Earth. The spiral is calling. Are you ready to remember? Topics: – Time as a spiral: why this changes everything – How your subconscious mind is quietly running your reality – Repeated patterns & emotional loops tied to past soul timelines – Why humanity is remembering — not just awakening – Timeline jumping: how a single moment of love shifts your frequency – Marie's origin story: Hungary, nature, Abraham Hicks & channeling – What is a Stargate? Portals, chakras & Earth's 12 primary gates – The 12 Stargates named: Shasta, Telos, Egypt, Bali, Antarctica & more – Antarctica, Iran & Hawaii: the three gates calling loudest right now – Lemuria vs. Atlantis: feminine vs. masculine & why both fell – Oversouls, dream time activations & traveling while you sleep – The new Earth frequency: what it feels like & how to align with it – Marie's books, programs & what's next ABOUT THE GUEST: MARIE MAJOR Marie Major is a cosmic consciousness guide, Stargate channel, author, and intuitive whose work bridges spiral time theory, Akashic records, Lemuria, Atlantis, and the energetic architecture of the new Earth. Born and raised in Vancouver, Canada with Hungarian roots steeped in energy work and divination, Marie has channeled transmissions from the 12 primary Stargates of Earth and is dedicated to helping humanity consciously shift timelines, heal soul-level wounds, and return to the ancient frequency of unity and love. She is the author of Looking Beyond What Is, Looking Beyond the Tides of Time, and several children's meditation books — with her next work focused on Stargates and what they're ready to teach us. Website: https://www.mariemajor.love/ Instagram & TikTok: @MarieMajor YouTube: ‪@marie_major‬ Books: Available on mariemajor.love & bookshop.org

This episode has been one of the most requested since I first mentioned I was in a relationship.I received a psychic message about a man with a sparkle in his eyes. 12 days later I met him at a Joe Dispenza retreat in Cancun. He had been single for 10 years and had nearly given up on love entirely. We both hit rock bottom the same year in different countries. We both moved back in with our moms. We both wrote a list.Then the universe put us in the same room.In this episode Sinclair and I sit down and tell the full story, from our individual rock bottoms all the way to how we ended up together in Bali.If you are in a season of waiting and wondering if love is coming for you, I recorded this one with you in mindhttps://sinclair-fischer-gray.kit.com/products/3-day-water-fastHis profile - https://www.instagram.com/sinclairfischergray/✨ ALIGNMENT ACADEMY PODCAST

A story about a teenage lottery winner refusing to share his prize money with his parents opened the floodgates, including one caller who confessed he blew an entire $250,000 jackpot at the casino in a single night. Ricki and Tim also heard some of the wildest Bali stories imaginable, including a listener whose romantic villa getaway was interrupted by a rogue bat flying into the room during a very private moment. Plus science apparently has opinions on everything now, from when you should drink coffee to when you should shower and nap, leading to a heated debate over Ricki's beloved "nappuccino." And if you thought baby names couldn't get any stranger, wait until you meet the child whose actual name is Tarzan.See omnystudio.com/listener for privacy information.

Had an AHA or Insight? Share it:Tarkan Salar on Living Inside an Unfinished TransformationTarkan Salar did not lose his business. He dismantled it. Deliberately, painfully, over eighteen months, canceling contracts, unwinding supplier relationships, letting go of nearly 2,000 employees, absorbing millions in losses, all while his marriage fell apart, his father died, and the people closest to him told him he was making a mistake.He had built a $50Mill dollar fashion company supplying H&M and major European retailers. Family members were on payroll. His identity, his relationships, his entire world was wrapped inside that company. He walked away from all of it because he could not do it anymore. He had no plan. He had a one-way ticket to Bali and left it all behind.The hustle part is done. What has not arrived yet is everything else.The people he thought were friends turned away the moment he stopped being useful. The family members he had carried for years are still angry. And Tarkan is in what he calls the void, no identity, no clear purpose, no confirmation that any of it is going to lead somewhere worth going. The next chapter is not here. He is living in the gap.In this conversation, Tarkan shares what it looks like to be inside that gap right now. The Sufism framework that helps him make sense of why everything was taken away. The 5am Club audiobook that cracked something open in Bali. The 12,000 hours of self-development that have compounded into something he is still learning how to bring into the world. And the honest admission that he does not know what comes next.Beate brings her own rawness to this one. Two people in the exact same spot, on different parts of the world, mapping the terrain of an unfinished transformation together.About Tarkan Salar.Tarkan Salar, is a consumer brand strategist, inventor, and operator with 26+ years building and scaling global fashion and consumer goods brands.Connect with Tarkan SalarWebsite| LinkedIn |Instagram_____________________We appreciate you, thank you for listening. Let us know in the comments what resonated in this episode, we want to hear from you. Leave a comment, like, share with one person who needs to hear the message our guest shared. Take our QUIZ and find out what your talent is worth in this market:  What's Your Talent Worth (http://WhatsYourTalentWorth.com)Follow us on Instagram:Check us out on Tik Tok: Work With Us

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Bali cracks down on influencers. Molly Mae’s luxury car regret. Olivia Rogers 'wildly intense’ birth story. Sophie Cachia's surprising baby plans. And is having a Snapchat group considered millennial!? For BTS Outspoken content follow Kate, Amy and Sophie on Instagram. Subscribe to Outspoken Plus Outspoken Plus is our subscription offering that gives you an extra dose of the hottest influencer and pop-culture news. Enjoy exclusive access to a BONUS episode every week. A Outspoken Plus subscription costs $5.99 a month, or save with our annual package, for just $49.99 a year*. You can became an Outspoken Plus subscriber via Apple Podcasts: ⁠apple.co/outspoken⁠ or via Spotify ⁠https://open.spotify.com/show/03t0cQyHS8OzAYigyksL9E?si=007ba128afd74369.⁠ * An annual subscription is only available on Apple Podcasts. See omnystudio.com/listener for privacy information.

Ricki and Tim swapped Bali horror stories before discovering the island's newest trend is a 5:30am silent disco run, which sounds very different to the Bali most Aussies remember. That sparked stories from listeners, including Bron, who somehow beat a group of German tourists in a beer-sculling competition and spent the rest of her holiday being pointed at like a local celebrity. But the standout came from Jake, whose romantic villa getaway took a wild turn when a bat flew into the room, bounced off a ceiling fan and landed in his girlfriend's luggage. Twenty minutes later, a monkey turned up to finish the job, delivering what might be the most Bali story ever told.See omnystudio.com/listener for privacy information.

These 2000-Year-Old Lessons Will Improve Your Trading  Podcast: Find out more about Blueberry Markets – Click Here Find out more about my Online Video Forex Course Book a Call with Andrew or one of his team now Click Here to Attend my Free Masterclass #635: These 2000-Year-Old Lessons Will Improve Your Trading In this video: 00:28 – Greek Mythology and your trading success. 00:51 – Too much confidence can blow an account. 01:57 – Obsession with money. 02:43 – You don't need a degree to become a good trader. 03:12 – 2 new testimonial videos from our clients. 04:12 – My farming background has helped me to become a good trader 04:41 – Blueberry Markets as a Forex Broker. 05:30 – Give me your feedback and request for trading topics. Do you realize that trading and Greek mythology are so highly correlated? I want to talk about that and give you some quotes and see how they relate to trading and your success in this video and podcast. Let's get into it right now. Hey there, Traders! It's Andrew Mitchem here at The Forex Trading Coach with video and podcast number 635. Greek Mythology and your trading success. So today something different because I want to talk about Greek mythology and how it relates to your trading success and how you approach the markets. You see people control the markets, emotions control the markets. And those same traits can be seen in Greek mythology, you know, from thousands of years ago. Too much confidence can blow an account. Give you an example. If you look at Icarus flying too close to the sun, that can be related to, say, like traders who are over trading, over leveraging, you know, their confidence becomes too much and they then blow their account because of doing silly things. You know, they're ignoring risk management rules and you get disaster. Exactly like Icarus flying too close to the sun with confidence. You can look at Odysseus and, you know, the principles of trading with discipline. You know, look at your trading as a long journey and how to gain patience when under pressure. Sticking to your trading plan despite distractions that you may have. You've got the example of sirens and market noise, and you know you've got social media tips out there telling you what to do. You get people saying, this is a guaranteed trade set up. You get, you know, emotional temptations pulling you away from your strategy because you're out there on forum sites looking at other things. So you've got all those kind of issues going on there. Obsession with money. You've got King Midas obsession with profits, you know, just looking at money, money, money. Whenever people do backtesting, they always pick the 1 with the, you know, the most money and you then get away from, you know, what you really need as a trader, which is consistency as well so people forget that. Achilles, so the Achilles heel your trading psychology becomes your weakness. You know, revenge trading, fear of missing out potentially like refusing to accept losses. All those type of things. So really important that you think about these, you know, principles that have been around for thousands and thousands of years and how they can help you with your trading. Markets, you know, are new, but emotions are not. Emotions have been there forever. You don't need a degree to become a good trader. So the best traders out there, they're not necessarily the smartest ones. And I find this with my, you know, with my students. And when I say smart, they don't have to have all the bits of paper and been to the best universities and all that type of thing, that does not make the best traders. The best traders are the ones that can master themselves, control their emotions, stick to plans, be disciplined, show up, turn up and you'll find that they become the best traders. 2 new testimonial videos from our clients. Some great examples of that on my website. Just in the last week, we've added 2 new reviews and testimonials from clients and the guy. Pete's been with me for 10 years. I met Pete in person a few weeks ago when I was over in Bali. And, you know, have a listen to that review. There's Ryan, who's a real estate agent here in New Zealand. Have a listen to his review. Just a family guy with 2 young kids doing really well through his trading by turning up, showing up, sticking to the discipline and rules and, you know, being a self-employed person, like, you know, like a commission agent, like a real estate agent is, you know, he understands that not every trade will be perfect. He understands that you can put lots of time into trading for maybe like a day or a week or, you know, and the results aren't always going to be perfect. So I think it takes a special kind of person like that to really trade well. My farming background has helped me to become a good trader I come from originally a farming background, you know, I understand that, that things are tough. You're, you know, you put the effort in, you plan, you discipline, you know, and you show up. And that's what trading is all about. You don't have to have, like I said, you know, the most qualifications. You don't need to be super, super smart to do this. You just need to control your emotions and understand what's needed and required. So I hope that helps. Blueberry Markets as a Forex Broker If you are there looking for a very good forex broker, I can highly recommend Blueberry Markets. I'll put a link to them there based across in Australia, but traders from right around the world can open an account with Blueberry Markets. I've been with them since they started and I know some of their team from prior to when Blueberry was created. And you won't find better customer service in terms of speed and efficiency, etc. I find them really good, and I think it's 1 broker that you should consider having a look at if you're out there looking for a good forex broker. But of course now with MT5 you can trade other markets like the metals, cryptos, commodities, indices, which we do as well. So have a look at Blueberry Markets. Have a look at those 2 reviews on my website as well. Give me your feedback and request for trading topics And any topics you'd like me to discuss on future videos and podcasts. Just like this 1. I'm here to help. Here to listen to what you want and to help you with your trading. After all, we've been doing this for 17 years at The Forex Trading Coach. We have successful clients in 111 countries around the world. If you'd like to come on board and join us in our community, you know where to find us at TheForexTradingCoach.com and I see you this time next week. Bye for now. Episode Title: #635: These 2000-Year-Old Lessons Will Improve Your Trading Find out more about Blueberry Markets – Click Here Find out more about my Online Video Forex Course Book a Call with Andrew or one of his team now Click Here to Attend my Free Masterclass

I've spent a lot of this AI series talking about business, workflows, automation, offers, and all the ways AI can help you work smarter. But over the last few weeks, I've noticed something else happening.AI has quietly started becoming part of how I actually live.Not in some futuristic robot assistant kind of way. More in these surprisingly practical, everyday moments where it's helping me make better decisions, reduce friction, stay more intentional, and honestly just feel more supported in the way I run my life.And the more I've experimented with it, the more I've realized this: most people are still thinking about AI as a work tool. Something you open when you need help writing content or brainstorming ideas.But the real shift happens when you start using it as a life operating system.That's what this episode is about.I'm sharing three very personal ways I've been using AI recently: how we used it to navigate our move to Bali, how it became my HYROX training partner and race strategist, and how I built my own macro tracker to finally understand what my body actually needs in this season of life.And weirdly? None of these examples are really about technology.They're about reducing friction, creating better systems, and becoming more intentional about how you live.Because I genuinely think the people who get the most out of AI won't just use it to work faster.They'll use it to live better.What You'll Learn:How I built my own macro tracker with Claude Code using my actual DEXA scan results and why it's the only tracking method that has ever stuck for meHow I used AI as my training partner, analyst and race strategist for HYROX and shaved 26 minutes off my solo race timeThe Bali life operating system Josh built in a GitHub repo and why it's one of the most genuinely useful things we've ever done as a familyWhy AI compounding is real and what it looks like when you apply it to your life, not just your workWhy none of this required technical skills, just clarity about what I wanted and the willingness to ask Hosted on Acast. See acast.com/privacy for more information.

How to install the AI-powered client acquisition machine that books 5-20 high-value clients/month. Watch the full breakdown → https://wearetherainmakers.com/demowatch gem: $2,200/hr consulting → $1. Test drive the full Rainmakers OS (AI agents + 161 playbooks + 24/7 VirtualChris) → https://wearetherainmakers.com/testdrive One coach did $318K in 30 days. Another did $566K with zero ad spend. A new coach signed 101 clients with 600 Instagram followers. Your BS detector went off. Good. In this video I'm pulling up my Mac and we're doing the research together. Real clients. Real numbers. Real proof you can verify yourself. If we're just meeting for the first time… I'm Chris Dufey, founder of The Rainmakers. We build full marketing ecosystems for coaches and consultants. So they can make $1M/yr working just 2-4hrs a day. I've built and sold a multi-7-figure coaching business, been behind the scenes of 7, 8, and 9-figure online businesses, and right now we're deep in the trenches building AI-powered systems that actually move the needle. I started sleeping on a couch with my baby daughter, wondering how I'd make rent. Built my first business to multi-7-figures, sold it, Then spent years getting paid $25K/month retainers to fix some of the biggest info-businesses on the planet. Scaled my consulting offer to $1M/year in 63 days. Launched an agency, took it to $200K/month in under 90 days, Then burned it all down because "bigger" doesn't always mean "better." Now I live between Bali and Australia with my four daughters, wife and dog. This channel is for founders who want simple, scalable businesses that buy back time with proven systems that just work. Subscribe, or drop a comment. Instagram: https://www.instagram.com/chrisdufey Substack: https://chrisdufey.substack.com/ Website: https://chrisdufey.com Website: https://wearetherainmakers.com

We have arrived home from our first overseas holiday with the family. We spent a week in Bali, and today we are going to talk through all the chaos, what went wrong, whether it was what we expected, and whether we would do it again. Plus, we have huge news!!!!!!! LINKS Follow Jadé on Instagram @jadetunchy and TikTok Follow Lachie on Instagram @lachiebrycki and TikTok Email us at madaboutyou@novapodcasts.com.au Follow Nova Podcasts on Instagram for videos from the podcast and behind-the-scenes content – @novapodcastsofficial. CREDITSHosts: Jadé and Lachie BryckiExecutive Producer: Xander CrossManaging Producer: Ricardo BardonDigital Content Producer: Matt Mullholland Find more great podcasts like this at novapodcasts.com.auSee omnystudio.com/listener for privacy information.

On this episode of The Loverly Wedding Podcast, Claudia and Stephen share their journey from decade-long friendship to engagement, including the turning point that brought them together, Stephen's elaborate surprise proposal in Bali, and their plans for an unconventional Philadelphia wedding filled with live music and unforgettable moments.   Follow Claudia on Instagram- ⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.instagram.com/clauddworld/   Planning a wedding? It's time to plan smarter with Loverly's free wedding planning platform. From comprehensive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠wedding checklists⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠guest list management⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠vendor manager,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ we've got everything you need to make your special day unforgettable. Let's be friends! Follow us on IG: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@Loverly⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ We're on TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@Loverly⁠⁠

Neill Kramer shares his journey from Silicon Valley to Bali, highlighting his expertise in international real estate development, cost-effective construction, and navigating local regulations. Discover how his unique perspective as an American expat enables profitable projects in Bali's exotic market.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Episode 227: The Bali Suitcase MurderHeather Mack always had a contentious, chaotic relationship with her mother Sheila in which Heather was the aggressor. After dozens of 911 calls regarding abuse in the home, Sheila's friends encouraged her to kick Heather out of their home. By 2014, Heather was 19 and dating a man named Tommy Schaefer, who Sheila disapproved of. She thought she and her daughter could reconnect on a vacation to Bali, Indonesia. Unbeknown to Sheila, Heather had used her credit card to purchase plane tickets for Tommy to join them on vacation. When Sheila's body was discovered in a suitcase in the trunk of a taxi, police didn't need to look far to find her killers. (TW: violence, DV, abortion)DV Resources (US):The Hotline: https://www.thehotline.org/Call 1-800-799-7233 or text START to 88788 https://nrcdv.org/Tune in to this episode to learn more!Email us at: abouttime4tc@gmail.comFollow us on IG: @about.time.for.true.crime.pod LinktreeDon't forget to rate, follow, download, and tell a friend!Sources1234567891011121314

What happens when you don't eat for 40 days? Sinclair Fisher Grey has done it, and it completely changed his life.In this episode, Sinclair shares how a back injury that wouldn't heal for 8 years led him down the rabbit hole of water fasting, dry fasting, and detoxification. He talks about the parasites that came out of his body on day 10, the emotional breakthroughs that cracked him open in a Bali jungle, and why healing is about so much more than just not eating.We get into who should and shouldn't fast, how to properly break a fast, the role your nervous system plays in healing, and why doing the inner work matters just as much as the physical detox.3 day guided water fast -https://sinclair-fischer-gray.kit.com/products/3-day-water-fastHis profile - https://www.instagram.com/sinclairfischergray/✨ ALIGNMENT ACADEMY PODCAST

Thomas Massie just got primaried out, and it cost the most money ever spent on a primary. $32.6 million in ad buys. A guy hand-picked by Trump comes out of nowhere and takes the seat. Massie voted with the administration 77% of the time. His sin was the Epstein files. So we get into it. We talk about getting that kind of money out of elections, and why the people who could fix it never will. We talk about AIPAC, foreign influence, and whether the question changes if you swap Israel for Egypt or China. Michael walks through where his generation is landing on all of it. Then it gets lighter. Two F-18s mate mid-air and four guys punch out. A man hops a fence at Denver International and walks onto an active runway. A tourist throws rocks at a seal in Hawaii and finds out. And we close on a criminal monkey gang in Bali running a sunglasses-for-snacks racket. Heavy up front. Stupid in the middle. Monkeys at the end. Join the Cleared Hot Newsletter: https://www.clearedhotpodcast.com Today's Sponsors: Firecracker Farm: https://www.firecracker.farm  

Prices are up. Budgets are tighter. And people are making some surprising choices about what stays and what goes. The woman skipping the new laptop and the graduation dress is still booked for a Disney cruise, a Bruno Mars concert, and a trip to Lake Erie. It turns out inflation doesn't just squeeze your wallet -- it forces a conversation about what you actually value. Joe, OG, Paula Pant, and Doc G dig into where people are drawing the line, why experiences outlast stuff in the happiness research, and what each of them refuses to give up no matter what.What You'll Walk Away WithWhy people cut the easy stuff first -- and why that strategy relieves anxiety without actually solving the budget problemThe research behind experiences vs. stuff: why the memory of a trip gets rosier over time while objects depreciate in more ways than oneDoc G's spending happiness continuum -- from stuff to experiences to becoming a better version of yourself, and why the last one costs the leastWhy OG's DoorDash experiment was a two out of ten in year-to-date success -- and why four people pulling the rudder in the other direction mattersThe "build from zero" budget reframe that feels more empowering than cutting from the top downOne roundtable member's rule that nothing is ever truly off the table when cash gets tight -- including the house and the private schoolWhat each panelist will never go cheap on -- and one answer involving prescription medications that lands differently than you'd expectThe expenses that are dead to each of them -- and where Joe, OG, Paula, and Doc G land on first class flights and DoorDashWhy the client who cut all Christmas spending had the best holiday season of their lifePapa John's quarterly earnings data that tells you exactly how inflation is changing behavior at the menu levelWhy This Matters NowIf you're in your 40s and you've started quietly trimming things -- streaming services, delivery apps, clothing budgets -- but haven't touched the bigger stuff, this episode names what's actually happening. The question isn't whether to cut. It's whether the things you're cutting are the ones that matter least. That's a values conversation, not a math conversation, and this roundtable is one of the better ones the basement has had.From the BasementJoe, OG, Paula Pant, and Doc G dig into a Wall Street Journal piece on how Americans are changing their spending habits -- and the conversation quickly becomes about what money is actually for. OG reports that his attempt to eliminate DoorDash from the family budget has been going poorly. Doc G went to Bali in coach. The year-long trivia competition takes a dramatic turn as OG's precise mathematical reasoning leads everyone to the wrong answer -- and Doc G wins by going lower. Johnny Carson's guest host strategy turns out to be the missing variable nobody accounted for.Resources MentionedWall Street Journal -- "Where Americans Are Drawing the Line on Price Increases" by Rachel Wolff; linked at stackingbenjamins.comAfford Anything podcast -- Paula Pant; Joe joins most Tuesdays for listener Q&AEarn and Invest podcast -- Doc G (Jordan Grumet); recent episode with Carrie Jorn Grimes on The Joy of MoneyStacking Benjamins Vault -- stackingbenjamins.com/vaultStacking Benjamins Community -- stackingbenjamins.com/basementSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this B-side episode, host Jesse Jackson talks with electro-punk pioneer Peter Pepper, calling from Shibuya, Tokyo, about growing up in rural Florida feeling alienated, discovering punk and industrial music, and channeling creativity through early audio editing into a music career. Peter shares how playing the State Theatre in St. Petersburg became a breakthrough moment, how “electro-punk” emerged organically around 1999–2001, and stories from touring, including Asbury Park's Stone Pony in 2001 and a later tour moment with Wes Borland. They discuss the realities of life on the road, modern pressures of permanent online records, and how a friend's recommendation led Peter to build a life between Japan and Bali. Peter previews his May 20 release “We're From Florida” and a forthcoming blues project, then answers Jesse's “Mary question” about Thunder Road. https://www.peterpepper.net/ https://open.spotify.com/artist/3PWK1iZunlFBPGG5CMpMh0?si=b9tXZRimTXqSUIeILG5Crg 00:00 B-Side Welcome 00:49 Meet Peter Pepper 02:00 Florida Roots 04:01 Finding Punk Scene 05:37 Outsider Identity 12:43 Creative Awakening 15:08 Learning By Doing 18:37 Creating In Public 22:40 First Big Break 27:18 Electro Punk Origins 29:50 Building Electro Punk 32:37 Labels And Movements 33:45 Stone Pony Ghost Town 38:44 Wes Borland Moment 41:21 Tour Life Offstage 44:03 Why Japan Became Home 48:28 New Music Plans 50:29 Thunder Road Mary Question 52:44 Goodbyes And Housekeeping Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on the podcast, you'll hear from an agent who defied all the rules of real estate and came back more profitable than ever.    At just 30 years old, Avi Becker of Santa Barbara, CA, has already scaled to $30 million in annual production. But after reaching the top, he did the unthinkable: he bought a one-way ticket to Bali and spent 11 months traveling.    Now, he's back, going solo, and proving that stepping away can be a shockingly profitable decision.    You're about to learn the mindset and tactical shifts required to build a high-level business that funds your wildest dreams instead of consuming them.   In this episode, you'll learn: The Sabbatical Strategy: Why Avi took 11 months off to travel the world and how he prepared his business to survive it. The "Meeting the Parents" Hack: A genius charisma trick for open houses that turns cold visitors into lifelong clients. The Long Game: How a $10.6 million luxury deal took five years of consistent, low-pressure follow-up to close. The Value-Add Listing Strategy: How taking a seller to see a neighbor's open house secured a $2 million listing over the competition. Mindset Over Fear: The meditation and mental reframing techniques used to turn the "fear of going solo" into pure excitement. The $5,000 Charity Bet: The exact prospecting discipline Avi uses to ensure his "reset year" hits $23 million.   Avi's success wasn't an accident. It was built through the structure of Tom Ferry coaching. Ready to build a business that actually supports the life you want? Schedule a free call with a Tom Ferry consultant to see if coaching is your next step.